15,111 Data Intern jobs in Australia
Data Analyst
Remote
$37 - $77 per hour
Cal Paso Solar Electric Inc
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, clean, and analyze large datasets to identify trends, patterns, and insights that support business objectives.
- Develop and maintain dashboards and reports to present data findings to stakeholders.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Utilize statistical methods to analyze data and generate useful business reports.
- Assist in the development and implementation of data collection systems and other strategies to optimize statistical efficiency and data quality.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Provide recommendations based on data analysis to improve processes and drive business growth.
- Stay current with industry trends and best practices in data analysis and visualization.
Qualifications:
- Proven experience as a Data Analyst or in a similar analytical role.
- Proficiency in data analysis tools and languages such as SQL, Python, R, or Excel.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar).
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
- Excellent communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.
- Strong attention to detail and problem-solving skills.
- Ability to work independently and manage multiple tasks in a fast-paced environment.
Preferred Qualifications:
- Experience with statistical analysis and data modeling.
- Knowledge of machine learning concepts is a plus.
- Experience in a specific industry (e.g., finance, healthcare, marketing) may be advantageous.
What We Offer:
- Competitive salary and performance-based bonuses.
- Flexible work hours and a remote work environment.
- Opportunities for professional development and growth.
- A collaborative and supportive team culture.
- Health, dental, and retirement benefits.
Our company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Company Details
Not your typical solar company! Here at Cal Paso Solar Electric, we design and install commercial and residential photovoltaic electric systems. We put our clients needs first and our A+ BBB rating proves our commitment to your satisfaction. With over 50 years of construction and electrical engineering, whether your system is small or utility scale, Cal Paso Solar Electric will handle your needs with a smile. Visit our website to meet our team.
This advertiser has chosen not to accept applicants from your region.
0
Data Manager
Scoresby, Victoria
ThermoFisher Scientific
Posted 16 days ago
Job Viewed
Job Description
**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
At Thermo Fisher Scientific, each one of our 100,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission-enabling our customers to make the world healthier, cleaner and safer.
When you're part of the team at Thermo Fisher Scientific, you'll do important work. Surrounded by collaborative colleagues, you'll have the support and opportunities that only a global leader can give you. Our respected, growing organization has an exceptional strategy for the near term and beyond. Take your place on our strong team, and help us make significant contributions to the world.
**Job Title: ANZ Masterdata Manager**
**Reports to: Director Operations, ANZ**
**Position Location: Scoresby, Victoria, Australia**
**Number of Reports: 8-10**
**Position Summary:**
This role will lead the Thermo Fisher Scientific's Australian and New Zealand end-to-end Master data governance & management, ensuring the accuracy, consistency, and integrity of critical data across the organization, acting as a single source of truth. They develop and implement data management strategies, develop & implement data governance policies, and collaborate with regional & local partners to meet data requirements.
They lead the master data management of across all types of master data including yet not limited to Product, Customer, Financial, Pricing, Planning and operations.
**Key Responsibilities:**
This role will be accountable for all Master Data Management (MDM) strategy, governance, and operations. This includes the initiation and development of improvements and providing training and support to optimize efficiency and effectiveness of the regional function.
+ Accountable for the strategy and approach toward managing MDM for all products, ensuring system compliance to business and legal requirements
+ Harmonize MDM ways of working across countries & functions to allow for the implementation and use of common streamlined processes; ultimately aligning globally
+ Business process owner to ensure optimal governance and sustenance of MDM
+ Provide leadership and support for MDM aspects of creation and maintenance of data
+ Lead with expertise to ensure end-to-end business process consistency
+ Lead end user support systems and enable team members to provide and deliver end-user training
+ Develop and facilitate continuous improvement in MDM processes
+ Manage key collaborators in bringing together the business needs/requirements and lead change and implementation
+ Lead with expertise all MDM integration efforts for strategic projects, mergers, and acquisitions
+ Facilitate discussions for strategic MDM initiatives
**Key areas of responsibility include:**
**Data Governance:**
Defining and enforcing policies and procedures for managing data assets, including data quality, data stewardship, and data security.
**Data Accuracy and Consistency:**
Maintaining accurate, consistent, and up-to-date master data within systems like ERP (Master-Pack, E1, SAP, etc).
**Data Quality:**
Implementing data improvement strategies, supervising and analyzing data systems, and identifying and addressing data-related issues.
**Collaboration:**
Working with different departments and collaborators to understand and meet their data needs.
**Data Management Strategies:**
Developing and implementing data management strategies to ensure data accuracy, consistency, and completeness.
**Process Improvement:**
Optimizing data workflows and providing guidance on data management practices.
**Training:**
Providing training to teams on data management processes and standard methodologies.
**Staying Informed:**
Keeping up-to-date with industry developments and technology advancements in data management.
**Team Leadership:**
People Leader of a large team with a strong bias for action & outcomes, and key ability to build a commitment & performance culture, trusting and learning environment.
**Frequent Contacts:**
Internal
+ ANZ Senior Leadership Team
+ Product Management Team
+ Marketing
+ Customer Care
+ Planning
+ Warehousing & Distribution
+ Pricing
+ Sales Operations
+ Finance
+ Technical Service
+ Local & Regional IT
+ Regional & Global Master data teams
**Minimum Requirements/Qualifications:**
Qualifications & Experience
+ Bachelor's degree in supply chain management, Industrial Engineering, or related field is preferred
+ 7+ years of experience in data management, data governance, or related fields.
+ Knowledge: Familiarity with data governance principles, data quality management, and data maintenance processes.
+ Strong analytical, problem-solving, and communication skills.
+ Proficiency in relevant data management tools and technologies.
+ Leadership Skills: Demonstrated ability to lead and manage teams.
+ Demonstrated track record in shifting business performance from a low to a high sustainable performance, in tough circumstances
+ PPI, Lean and/or Six Sigma working experience with demonstrated achievement of continuous improvement through utilization of Lean tools
+ Experience in leading teams of individual contributors, with a track record of attracting and developing talent, developing bench strengths and managing a complex, diverse and dispersed workforce
**Skills & Attributes**
+ Good interpersonal and communication skills, with ability to influence effectively at all levels of the organization
+ Solid project management skills with the ability to develop strong support for change
+ Experience in working in a global and matrix organization with a decentralized model
+ Demonstrate Thermo Fisher Scientific values - Integrity, Intensity, Innovation and Involvement.
+ Demonstrates visible role model leadership characteristics.
+ Strong leadership skills to inspire and empower teams, provide clear direction, and deliver results.
+ Critical thinking and ability to develop and implement long-term plans aligned with business strategy.
+ Adaptability to thrive in a fast-paced environment, adopt new technologies, and navigate through challenges successfully
+ Excellent project management skills, including the ability to prioritize and lead multiple projects simultaneously
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
At Thermo Fisher Scientific, each one of our 100,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission-enabling our customers to make the world healthier, cleaner and safer.
When you're part of the team at Thermo Fisher Scientific, you'll do important work. Surrounded by collaborative colleagues, you'll have the support and opportunities that only a global leader can give you. Our respected, growing organization has an exceptional strategy for the near term and beyond. Take your place on our strong team, and help us make significant contributions to the world.
**Job Title: ANZ Masterdata Manager**
**Reports to: Director Operations, ANZ**
**Position Location: Scoresby, Victoria, Australia**
**Number of Reports: 8-10**
**Position Summary:**
This role will lead the Thermo Fisher Scientific's Australian and New Zealand end-to-end Master data governance & management, ensuring the accuracy, consistency, and integrity of critical data across the organization, acting as a single source of truth. They develop and implement data management strategies, develop & implement data governance policies, and collaborate with regional & local partners to meet data requirements.
They lead the master data management of across all types of master data including yet not limited to Product, Customer, Financial, Pricing, Planning and operations.
**Key Responsibilities:**
This role will be accountable for all Master Data Management (MDM) strategy, governance, and operations. This includes the initiation and development of improvements and providing training and support to optimize efficiency and effectiveness of the regional function.
+ Accountable for the strategy and approach toward managing MDM for all products, ensuring system compliance to business and legal requirements
+ Harmonize MDM ways of working across countries & functions to allow for the implementation and use of common streamlined processes; ultimately aligning globally
+ Business process owner to ensure optimal governance and sustenance of MDM
+ Provide leadership and support for MDM aspects of creation and maintenance of data
+ Lead with expertise to ensure end-to-end business process consistency
+ Lead end user support systems and enable team members to provide and deliver end-user training
+ Develop and facilitate continuous improvement in MDM processes
+ Manage key collaborators in bringing together the business needs/requirements and lead change and implementation
+ Lead with expertise all MDM integration efforts for strategic projects, mergers, and acquisitions
+ Facilitate discussions for strategic MDM initiatives
**Key areas of responsibility include:**
**Data Governance:**
Defining and enforcing policies and procedures for managing data assets, including data quality, data stewardship, and data security.
**Data Accuracy and Consistency:**
Maintaining accurate, consistent, and up-to-date master data within systems like ERP (Master-Pack, E1, SAP, etc).
**Data Quality:**
Implementing data improvement strategies, supervising and analyzing data systems, and identifying and addressing data-related issues.
**Collaboration:**
Working with different departments and collaborators to understand and meet their data needs.
**Data Management Strategies:**
Developing and implementing data management strategies to ensure data accuracy, consistency, and completeness.
**Process Improvement:**
Optimizing data workflows and providing guidance on data management practices.
**Training:**
Providing training to teams on data management processes and standard methodologies.
**Staying Informed:**
Keeping up-to-date with industry developments and technology advancements in data management.
**Team Leadership:**
People Leader of a large team with a strong bias for action & outcomes, and key ability to build a commitment & performance culture, trusting and learning environment.
**Frequent Contacts:**
Internal
+ ANZ Senior Leadership Team
+ Product Management Team
+ Marketing
+ Customer Care
+ Planning
+ Warehousing & Distribution
+ Pricing
+ Sales Operations
+ Finance
+ Technical Service
+ Local & Regional IT
+ Regional & Global Master data teams
**Minimum Requirements/Qualifications:**
Qualifications & Experience
+ Bachelor's degree in supply chain management, Industrial Engineering, or related field is preferred
+ 7+ years of experience in data management, data governance, or related fields.
+ Knowledge: Familiarity with data governance principles, data quality management, and data maintenance processes.
+ Strong analytical, problem-solving, and communication skills.
+ Proficiency in relevant data management tools and technologies.
+ Leadership Skills: Demonstrated ability to lead and manage teams.
+ Demonstrated track record in shifting business performance from a low to a high sustainable performance, in tough circumstances
+ PPI, Lean and/or Six Sigma working experience with demonstrated achievement of continuous improvement through utilization of Lean tools
+ Experience in leading teams of individual contributors, with a track record of attracting and developing talent, developing bench strengths and managing a complex, diverse and dispersed workforce
**Skills & Attributes**
+ Good interpersonal and communication skills, with ability to influence effectively at all levels of the organization
+ Solid project management skills with the ability to develop strong support for change
+ Experience in working in a global and matrix organization with a decentralized model
+ Demonstrate Thermo Fisher Scientific values - Integrity, Intensity, Innovation and Involvement.
+ Demonstrates visible role model leadership characteristics.
+ Strong leadership skills to inspire and empower teams, provide clear direction, and deliver results.
+ Critical thinking and ability to develop and implement long-term plans aligned with business strategy.
+ Adaptability to thrive in a fast-paced environment, adopt new technologies, and navigate through challenges successfully
+ Excellent project management skills, including the ability to prioritize and lead multiple projects simultaneously
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
This advertiser has chosen not to accept applicants from your region.
1
Data analyst
2500 Wollongong, New South Wales
University of Wollongong
Posted 18 days ago
Job Viewed
Job Description
- Full time, continuing contingent*
- Two positions available
- Level 6/7: $92,681 - $114,764 + 17% Superannuation
- Wollongong Innovation Campus
The Palliative Care Outcomes Collaboration (PCOC), part of the Australasian Health Outcomes Consortium (AHOC) within the Faculty of Science, Medicine and Health, is a national program focused on improving palliative care through systematic data collection, analysis, and feedback. Based at UOW’s Innovation Campus, AHOC brings together multidisciplinary experts dedicated to health data, innovation, and research impact.
We are seeking a skilled and motivated Data Analyst to support the PCOC program through robust quantitative analysis and data-driven innovation. In this role, you will manage large-scale datasets, contribute to the development of dashboards, improve data pipelines, and support process automation. Working under the guidance of a Data Scientist, you will play a key role in maintaining data integrity, producing high-quality analytics, and contributing to national reporting and service improvement efforts. This position offers the opportunity to make a real impact on health
outcomes while working in a dynamic and collaborative research environment.
How to Apply
Applicants are requested to submit a CV and cover letter. The cover letter should be no more than 3 pages, summarising your skills and experience as they relate to the selection criteria located in the position description.
For further information about this position, please contact Jesse Rand on +61 2 4239 3493
Position Description
Closing Date: Sunday 17 August 2025, 11:59 PM
The University of Wollongong is committed to workplace equity, diversity and inclusion. We value and acknowledge the importance of our people’s diverse experiences, talents and cultures that they bring to work with them each day. Embracing diversity and creating inclusion is a key component of attracting and retaining talent in our workforce. The creation of a diverse and inclusive workforce is central to our ability to unlock potential, enhance our success and achieving our vision of being in the Top 1% of universities globally.
Note: Visa sponsorship is not available for this position. Only candidates with valid work rights in Australia are eligible to apply.
*Continuing Contingent: Refer to section 24 of the University of Wollongong (Professional Services Employees) Enterprise Agreement, 2023: This position forms part of an external funding agreement. Should funding cease and not be renewed the continuing appointment may be terminated on the basis of the contingency.
This advertiser has chosen not to accept applicants from your region.
2
Data analyst
3011 Footscray, Victoria
Western Health
Posted 19 days ago
Job Viewed
Job Description
- Location: Sunshine Hospital
- Employment Type: Fixed Term, Full Time until 4 September 2026
- Salary: HS5
The Western Public Health Unit (WPHU) has been established to strengthen the public health response to communicable diseases and other health issues. The unit is part of a system of three metropolitan public health units and six regional units that provide a state-wide network of public health delivery and oversight.
WPHU is led and coordinated by Western Health and responsible for approximately 1.4M people in the LGAs of Maribyrnong, Moonee Valley, Hobson’s Bay, Merri-bek, Melbourne, Brimbank, Melton and Wyndham. Local public health units have responsibility for management of almost all notifiable conditions under the Public Health and Wellbeing Act (2008) alongside the Department of Health (DH), as well as non-communicable disease and health promotion activities in their assigned catchments, as part of the state’s overall public health response.
The Data Analyst is a member of the Data, Epidemiology and Surveillance (DES) team. The role reports to the Deputy Director, working closely with teams across the unit.
Key Responsibilities
- Provide data management, report development, analytical and data visualisation support to the Western Public Health Unit
- Strong communication skills to train and support other staff in data management and be able to translate operational and research questions into analytic projects
- Design, develop, maintain, and operate systems for automation of current WPHU processes
- Develop, maintain, implement and iteratively improve automated reports using Microsoft Power BI and R to meet internal and external WPHU reporting needs
- Excellent data management and problem skills, a strong eye for detail, and the ability to apply your analytical and critical thinking skills
- Advanced proficiency with R, SQL, Power-BI and Microsoft Excel (including use of Power Query)
- Proven ability to design, develop, and implement reports and analyses for end-users to meet their specific data needs
- Relevant tertiary qualification in data science, analytics, or similar, or proven success in a similar role
About Western Health
Western Health is one of the largest healthcare providers in Victoria, caring for a vibrant, diverse and rapidly growing community of one million people in Melbourne’s western suburbs.
With more than 13,000 staff, Western Health delivers 800,000+ occasions of care every year, providing high-quality, person-centred care across every life stage.
We provide a combination of hospital, community-based, at-home and in-reach services to aged, adult and paediatric patients and newborn babies. Specialties include oncology, renal, mental health, women’s health and maternity, chronic diseases, geriatrics and cardiology.
We have remarkable strengths in chronic disease, complex care and developing innovative and sustainable healthcare solutions. Our experience at the coalface of healthcare delivery for some of Australia’s most culturally and socioeconomically diverse and vulnerable populations provides us with unique insights into the most pressing health challenges.
Western Health operates four acute public hospitals: Sunshine Hospital (including Joan Kirner Women’s and Children’s), Footscray Hospital, Williamstown Hospital and Bacchus Marsh Hospital. We also operate Sunbury Community Hospital, Sunshine Mental Health and Wellbeing Centre, Melton Health and Community Services, Bacchus Marsh Community Health Centre, Caroline Springs Community Health Centre and Grant Lodge Residential Aged Care in Bacchus Marsh. Western Health also provides the primary healthcare service at the Dame Phyllis Frost Centre, a women’s prison located in Ravenhall.
Why join us?
Compensation And Benefits
- Competitive salary packages aligned with market standards.
- Health and wellbeing programs, including flexible work arrangements.
- Scholarships and grants to support your continuous learning journey.
- Access the Western Health Learning Academy (WHA) for personalised learning pathways.
- Professional growth programs, including postgraduate studies and clinical education.
- Mentorship and career support.
- Make a meaningful difference in patients’ lives through compassionate care.
- Join a workforce that champions diversity and inclusion.
- Engage in community wellbeing initiatives and groundbreaking healthcare research.
- Thrive in a collaborative, compassionate and innovative team environment.
- Be part of a culture that celebrates continuous improvement and excellence in healthcare.
Simply click on the “apply” button and follow the prompts.
If you are currently employed at Western Health, please ensure you sign in through the 'Employee Login' via the external Careers Page or access the Careers Page via the intranet before applying.
Closing date: 11:59pm on 15 August 2025.
Enquiries: For further information about this role, contact Charles Alpren (Deputy Director - Public Health Unit) via email .
Western Health is an equal opportunity employer committed to attracting and retaining diversity in our workforce. We encourage applications from Aboriginal and Torres Strait Islander people.
Western Health is committed to providing a safe environment for the children and young people who are involved in our services, sites and operations. We follow and abide by all legislative requirements to keep children and young people safe.
All appointments are made subject to a satisfactory Police Record Check, an Immunisation Status Clearance and a Working with Children Check (if applicable).
Western Health does not accept unsolicited resumes/applications from recruitment agencies.
This advertiser has chosen not to accept applicants from your region.
3
Administrative - Data Entry Clerk
Remote
$19 - $35 per hour
Cal Paso Solar Electric Inc
Posted 1 day ago
Job Viewed
Job Description
We are looking for a detail-oriented and reliable Remote Data Entry Clerk to join our dynamic team. This position plays a critical role in ensuring the accuracy and efficiency of our data management processes. As a Remote Data Entry Clerk, you will be responsible for inputting data, maintaining databases, and ensuring that all information is up-to-date and properly organized. The ideal candidate should possess excellent typing skills, a keen eye for detail, and the ability to work independently in a remote environment. This role requires strong communication skills and the capacity to manage time effectively, as you will be responsible for completing tasks within designated deadlines. You will engage with various stakeholders to gather necessary information and clarify discrepancies, requiring both diligence and adaptability. In addition, you will be trained to utilize various software tools that allow you to perform your duties effectively, making this an excellent opportunity for anyone looking to enhance their data skills in a remote format. If you have a passion for data accuracy and enjoy working independently while contributing to a team, we encourage you to apply for this exciting role.
Responsibilities- Inputting and updating data accurately in databases and spreadsheets.
- Reviewing and verifying data for accuracy before entry.
- Maintaining confidentiality of sensitive information.
- Troubleshooting and resolving discrepancies in data records.
- Generating reports and summaries of data as required.
- Assisting in the organization and archiving of data files.
- Providing support in data management projects as needed.
- High school diploma or equivalent; additional education in data management or a related field is a plus.
- Proficiency in Microsoft Office Suite, especially Excel.
- Strong typing skills with a minimum typing speed of 40 WPM.
- Excellent attention to detail and strong organizational skills.
- Ability to work independently with minimal supervision.
- Effective communication skills, both written and verbal.
- Prior experience in data entry or administrative support is preferred.
Company Details
Not your typical solar company! Here at Cal Paso Solar Electric, we design and install commercial and residential photovoltaic electric systems. We put our clients needs first and our A+ BBB rating proves our commitment to your satisfaction. With over 50 years of construction and electrical engineering, whether your system is small or utility scale, Cal Paso Solar Electric will handle your needs with a smile. Visit our website to meet our team.
This advertiser has chosen not to accept applicants from your region.
4
Administrative - Data Entry Clerk
0200 Australian National University
$45000 - $55000 per year
The Balance Institute
Posted 9 days ago
Job Viewed
Job Description
At The Balance Institute Pty Ltd , we are dedicated to delivering high-quality educational services that support individuals and families through life’s key transitions. We are committed to professionalism, inclusivity, and care in all areas of our work. To support our growing operations, we are seeking a reliable and detail-oriented Administrative – Data Entry Clerk to join our team.
Position SummaryThis role combines general administrative duties with high-volume data entry tasks. You’ll be responsible for maintaining accurate records, supporting internal teams with admin tasks, and ensuring smooth day-to-day office operations. This is an ideal role for someone who thrives in structured environments, has excellent attention to detail, and enjoys working behind the scenes to keep things organized.
Key Responsibilities- Accurately input, update, and manage data across various internal systems and databases
- Maintain organized digital and paper filing systems
- Prepare reports, spreadsheets, and documents as needed
- Provide administrative support to team members (e.g. scheduling, email correspondence, document formatting)
- Verify and cross-check information for accuracy and completeness
- Handle confidential information with discretion
- Respond to basic inquiries from staff, students, or partners
- Previous experience in an administrative or data entry role (1+ years preferred)
- Strong typing skills with a high level of accuracy
- Proficiency with Microsoft Office (Excel, Word, Outlook) or Google Workspace
- Excellent organizational and time management skills
- Strong attention to detail and ability to multitask
- Excellent written and verbal communication skills
- Experience with databases, CRMs, or cloud-based admin systems is a plus
- Flexible working hours and remote/hybrid options available
- Supportive, team-oriented culture
- Opportunities for training and development
- All software and tools provided
Company Details
The Balance Institute Pty Ltd is a private education-focused organization based in New South Wales, Australia. We specialize in delivering accessible, high-quality learning experiences to support individuals and families through key life transitions—particularly in areas such as childbirth education, parenting, and personal wellbeing. Our mission is to empower people with the knowledge, confidence, and tools they need to make informed choices and lead balanced, fulfilling lives. We are passionate about education that is practical, inclusive, and grounded in real-world experience. At The Balance Institute, we value compassion, clarity, and community—and we’re always looking for dedicated professionals who share our vision for impactful, learner-centered education.
This advertiser has chosen not to accept applicants from your region.
5
Lead Data Engineer/Data Management Lead
Sydney, New South Wales
Cognizant
Posted 10 days ago
Job Viewed
Job Description
**Job Description:**
We are looking for a highly skilled and experienced Lead Data Engineer with over 15 years of expertise in data engineering, architecture, and enterprise data management. The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools(like Informatica/SSIS) along with knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration. This role will be responsible for designing and implementing scalable data platforms, managing complex data pipelines, and ensuring adherence to best practices in data quality, governance, and security. The position requires strong leadership capabilities to guide a team and deliver high-performance, cost-effective, and reliable data solutions.
**Position Summary:**
The Lead Data Engineer will lead the design, development, and optimization of large-scale data architectures and workflows across AWS and Databricks environments. This role will involve integrating data from enterprise insurance systems (Guidewire ClaimCenter and PolicyCenter) into centralized analytics platforms, driving automation, and implementing governance frameworks. The position demands a mix of technical expertise, architectural vision, and team leadership to deliver business-aligned, high-quality data solutions.
**Mandatory Skills:**
· Cloud & Data Platforms: AWS Redshift, AWS DMS, AWS S3, Databricks
· ETL/ELT & Integration Tools: Fivetran, DBT
· Insurance Platforms: Guidewire ClaimCenter, PolicyCenter
· Data Architecture & Modeling: Data warehouse & Lakehouse design, Dimensional Modeling, Performance Tuning
· Programming & Scripting: SQL, Python & Unix
· Automation & DevOps: Infrastructure as Code (Terraform/CloudFormation), CI/CD for data workflows ,Git, GitHub workflows, and CI/CD tools like Jenkins.
· NoSQL Databases : AWS DynamoDB, MongoDB, etc.
· Data Governance & Quality: Data security, lineage, compliance, and quality management
· Leadership: Proven track record in managing and mentoring data engineering teams
**Duties and Responsibilities:**
· Provide architectural expertise in defining and driving the right solution to meet the technical performnaces, scalability, flexibility, operations and capability needs.
· Lead and mentor a team of data engineers to deliver robust and scalable data solutions.
· Architect, design, and implement enterprise-scale data warehouse and lakehouse solutions on AWS and Databricks.
· Develop and maintain high-performance ETL/ELT pipelines using AWS DMS, Fivetran, and dbt.
· Integrate data from Guidewire ClaimCenter and Duck Creek PolicyCenter into centralized data platforms.
· Collaborate with business and technology stakeholders to gather requirements and deliver business-aligned data solutions.
· Implement and enforce data governance, security policies, and compliance frameworks.
· Optimize performance, cost, and scalability of AWS and Databricks environments.
· Monitor, troubleshoot, and maintain operational excellence for data systems.
· Stay up to date with emerging tools, frameworks, and best practices in data engineering.
· A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.
· Ability to manage multiple priorities in a fast-paced environment.
**Salary Range:** >100,000
**Date of Posting: 13/August/2025**
**Next Steps:** If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit . Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
**#LI-CTSAPAC**
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
We are looking for a highly skilled and experienced Lead Data Engineer with over 15 years of expertise in data engineering, architecture, and enterprise data management. The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools(like Informatica/SSIS) along with knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration. This role will be responsible for designing and implementing scalable data platforms, managing complex data pipelines, and ensuring adherence to best practices in data quality, governance, and security. The position requires strong leadership capabilities to guide a team and deliver high-performance, cost-effective, and reliable data solutions.
**Position Summary:**
The Lead Data Engineer will lead the design, development, and optimization of large-scale data architectures and workflows across AWS and Databricks environments. This role will involve integrating data from enterprise insurance systems (Guidewire ClaimCenter and PolicyCenter) into centralized analytics platforms, driving automation, and implementing governance frameworks. The position demands a mix of technical expertise, architectural vision, and team leadership to deliver business-aligned, high-quality data solutions.
**Mandatory Skills:**
· Cloud & Data Platforms: AWS Redshift, AWS DMS, AWS S3, Databricks
· ETL/ELT & Integration Tools: Fivetran, DBT
· Insurance Platforms: Guidewire ClaimCenter, PolicyCenter
· Data Architecture & Modeling: Data warehouse & Lakehouse design, Dimensional Modeling, Performance Tuning
· Programming & Scripting: SQL, Python & Unix
· Automation & DevOps: Infrastructure as Code (Terraform/CloudFormation), CI/CD for data workflows ,Git, GitHub workflows, and CI/CD tools like Jenkins.
· NoSQL Databases : AWS DynamoDB, MongoDB, etc.
· Data Governance & Quality: Data security, lineage, compliance, and quality management
· Leadership: Proven track record in managing and mentoring data engineering teams
**Duties and Responsibilities:**
· Provide architectural expertise in defining and driving the right solution to meet the technical performnaces, scalability, flexibility, operations and capability needs.
· Lead and mentor a team of data engineers to deliver robust and scalable data solutions.
· Architect, design, and implement enterprise-scale data warehouse and lakehouse solutions on AWS and Databricks.
· Develop and maintain high-performance ETL/ELT pipelines using AWS DMS, Fivetran, and dbt.
· Integrate data from Guidewire ClaimCenter and Duck Creek PolicyCenter into centralized data platforms.
· Collaborate with business and technology stakeholders to gather requirements and deliver business-aligned data solutions.
· Implement and enforce data governance, security policies, and compliance frameworks.
· Optimize performance, cost, and scalability of AWS and Databricks environments.
· Monitor, troubleshoot, and maintain operational excellence for data systems.
· Stay up to date with emerging tools, frameworks, and best practices in data engineering.
· A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.
· Ability to manage multiple priorities in a fast-paced environment.
**Salary Range:** >100,000
**Date of Posting: 13/August/2025**
**Next Steps:** If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit . Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
**#LI-CTSAPAC**
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
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6
Data Test Architect / Lead Data Analyst
Sydney, New South Wales
Cognizant
Posted 23 days ago
Job Viewed
Job Description
**Position Summary:**
We are seeking a highly skilled Test Architect with Data Analyst skills who has expertise in Databricks, PySpark, MongoDB, and Azure Cloud to lead quality assurance team and data analytics initiatives across our enterprise data platforms. This role involves designing and implementing automated testing frameworks to validate data pipelines, transformations, and storage systems, ensuring high data quality and integrity. In addition to QA leadership, the role requires working with various data analytics tools and techniques to generate impactful insights that support strategic business decisions.
The ideal candidate will have a strong background in data warehouse technologies, cloud-based architecture and data modelling, with a solid understanding of business intelligence principles and cloud computing platforms such as Azure, AWS, and GCP. Familiarity with data architecture, data warehouse models, Kimball methodology, dimensional modelling, and the Data Vault approach is essential. The successful candidate will be ISTQB certified and have insurance domain and cloud certifications, bringing valuable domain knowledge in the insurance industry while collaborating with cross-functional teams to define testing standards, reduce quality costs, and ensure data integrity at scale.
**Mandatory Skills:**
+ Proven expertise in Data Warehouse Quality Assurance using cloud platforms such as Azure, AWS, Databricks, PySpark.
+ Strong data analysis capabilities, with the ability to interpret and validate complex datasets using a variety of data analysis tools to interpret and report on data
+ Experience in defining and implementing testing standards, methodologies, and best practices across cross-functional teams.
+ Hands-on proficiency in both structured and unstructured databases Spark-SQL, MongoDB, Unix, Oracle, Redshift, and PySpark.
+ Solid understanding of data modeling, SQL querying and data pipeline design.
+ Ability to comprehend and translate complex business requirements into effective testing strategies.
+ Practical experience working within an Agile development environment.
+ Familiarity with the Atlassian toolset, including JIRA, Confluence, Bitbucket, Jenkins, and Git.
+ In-depth insurance domain knowledge, with a focus on data-centric applications.
+ Strong understanding of data modeling techniques, including conceptual, logical, and physical data models
+ Experience in cloud data migration projects involving insurance COTS products such as Guidewire and Evolve
+ Experience in validating ML models, automating testing pipelines, and ensuring model robustness and fairness. Skilled in Python, PyTest, MLflow, and CI/CD tools using Jenkins and Docker.
+ Certified in ISTQB, Azure Cloud, and insurance domains
**Duties and Responsibilities:**
+ Prepare and own the end-to-end test strategy for Data Warehouse programs
+ Liaison with BSA to understand the requirements
+ Create / update the Requirements traceability matrix with test scenarios.
+ Create/Modify the SQL test scripts as per the ETL mapping documents and technical specifications & Requirements.
+ Run the jobs and perform smoke testing
+ Record and maintain testing evidence and track execution status of assigned test cases.
+ Analyze test results and defect data to identify trends and root causes.
+ Use data visualization tools (e.g., Power BI, Tableau, Python libraries) to present testing metrics and KPIs.
+ Develop predictive models to forecast defect density, test coverage gaps, and release readiness.
+ Perform exploratory data analysis (EDA) on production and test data to uncover quality issues
+ Identify defects and log failures.
+ Track defects (defect log as generated from the QC tool/JIRA Tool) to closure.
+ Participate in the defect triages to gather evidence for defect identification on periodic basis for defect prioritization and fix.
+ Internal review and share for stakeholder review and feedback. Collaborate closely with BA & development team
+ Ensure all test data aligns with privacy and compliance requirements across test environments
+ Lead the development of automated test suites for functional, performance, and security testing.
+ Design and implement automated testing pipelines for ML models using PyTest and MLflow.
+ Integrate test automation with CI/CD pipelines.
+ Monitor and maintain test environments and data integrity.
**Qualifications & Certifications (Optional):**
+ Bachelor of Engineering
+ Azure DP-900 certification (or any equivalent)
+ ISTQB certification
+ Insurance domain certification-LOMA 280 & 290 certified for insurance domain (or any equivalent).
+ Understanding of mining tools to automate turning unstructured text into structured data
**Salary Range:** >$100,000
**Date of Posting: 31/July/2025**
**Next Steps:** If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit . Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
**#LI-CTSAPAC**
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
We are seeking a highly skilled Test Architect with Data Analyst skills who has expertise in Databricks, PySpark, MongoDB, and Azure Cloud to lead quality assurance team and data analytics initiatives across our enterprise data platforms. This role involves designing and implementing automated testing frameworks to validate data pipelines, transformations, and storage systems, ensuring high data quality and integrity. In addition to QA leadership, the role requires working with various data analytics tools and techniques to generate impactful insights that support strategic business decisions.
The ideal candidate will have a strong background in data warehouse technologies, cloud-based architecture and data modelling, with a solid understanding of business intelligence principles and cloud computing platforms such as Azure, AWS, and GCP. Familiarity with data architecture, data warehouse models, Kimball methodology, dimensional modelling, and the Data Vault approach is essential. The successful candidate will be ISTQB certified and have insurance domain and cloud certifications, bringing valuable domain knowledge in the insurance industry while collaborating with cross-functional teams to define testing standards, reduce quality costs, and ensure data integrity at scale.
**Mandatory Skills:**
+ Proven expertise in Data Warehouse Quality Assurance using cloud platforms such as Azure, AWS, Databricks, PySpark.
+ Strong data analysis capabilities, with the ability to interpret and validate complex datasets using a variety of data analysis tools to interpret and report on data
+ Experience in defining and implementing testing standards, methodologies, and best practices across cross-functional teams.
+ Hands-on proficiency in both structured and unstructured databases Spark-SQL, MongoDB, Unix, Oracle, Redshift, and PySpark.
+ Solid understanding of data modeling, SQL querying and data pipeline design.
+ Ability to comprehend and translate complex business requirements into effective testing strategies.
+ Practical experience working within an Agile development environment.
+ Familiarity with the Atlassian toolset, including JIRA, Confluence, Bitbucket, Jenkins, and Git.
+ In-depth insurance domain knowledge, with a focus on data-centric applications.
+ Strong understanding of data modeling techniques, including conceptual, logical, and physical data models
+ Experience in cloud data migration projects involving insurance COTS products such as Guidewire and Evolve
+ Experience in validating ML models, automating testing pipelines, and ensuring model robustness and fairness. Skilled in Python, PyTest, MLflow, and CI/CD tools using Jenkins and Docker.
+ Certified in ISTQB, Azure Cloud, and insurance domains
**Duties and Responsibilities:**
+ Prepare and own the end-to-end test strategy for Data Warehouse programs
+ Liaison with BSA to understand the requirements
+ Create / update the Requirements traceability matrix with test scenarios.
+ Create/Modify the SQL test scripts as per the ETL mapping documents and technical specifications & Requirements.
+ Run the jobs and perform smoke testing
+ Record and maintain testing evidence and track execution status of assigned test cases.
+ Analyze test results and defect data to identify trends and root causes.
+ Use data visualization tools (e.g., Power BI, Tableau, Python libraries) to present testing metrics and KPIs.
+ Develop predictive models to forecast defect density, test coverage gaps, and release readiness.
+ Perform exploratory data analysis (EDA) on production and test data to uncover quality issues
+ Identify defects and log failures.
+ Track defects (defect log as generated from the QC tool/JIRA Tool) to closure.
+ Participate in the defect triages to gather evidence for defect identification on periodic basis for defect prioritization and fix.
+ Internal review and share for stakeholder review and feedback. Collaborate closely with BA & development team
+ Ensure all test data aligns with privacy and compliance requirements across test environments
+ Lead the development of automated test suites for functional, performance, and security testing.
+ Design and implement automated testing pipelines for ML models using PyTest and MLflow.
+ Integrate test automation with CI/CD pipelines.
+ Monitor and maintain test environments and data integrity.
**Qualifications & Certifications (Optional):**
+ Bachelor of Engineering
+ Azure DP-900 certification (or any equivalent)
+ ISTQB certification
+ Insurance domain certification-LOMA 280 & 290 certified for insurance domain (or any equivalent).
+ Understanding of mining tools to automate turning unstructured text into structured data
**Salary Range:** >$100,000
**Date of Posting: 31/July/2025**
**Next Steps:** If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit . Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
**#LI-CTSAPAC**
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
7
Data Specialist (Healthcare)
Sydney, New South Wales
Stryker
Posted 2 days ago
Job Viewed
Job Description
**Join Our Team as a Data Specialist - Stryker South Pacific**
**About Stryker:**
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopedics and Spine that help improve patient and healthcare outcomes. Learn more at .
**The role:**
We're looking for a **Data Specialist** to join our Clinical Research Team. You'll work closely with research sites to manage and optimize data from Stryker studies-ensuring secure access, high-quality control, and actionable insights that support innovation and patient safety.
Whether you're a recent graduate or early in your career, we welcome your passion for data, curiosity, and initiative. You'll grow into a subject-matter expert on the datasets you handle, contribute to analytics projects, and develop research skills that deliver real value to patients and stakeholders.
If you're excited about making a real impact in healthcare through data, we'd love to hear from you!
**Key Responsibilities**
+ **Clinical Data Management** : Handle global study datasets, ensure secure access, maintain data quality, and coordinate corrections.
+ **Study & Operational Support** : Support study setup, monitoring, close-out, and database maintenance.
+ **Documentation & Scientific Contributions** : Assist with research proposals, contracts, literature reviews, and scientific outputs.
+ **Training & Process Improvement** : Train users, contribute to SOPs and eQMS documentation, and improve data workflow.
**What You Bring**
+ Strong interest in data management, data privacy and research operations
+ Ability to turn complex data into actionable insights
+ Excellent collaboration, documentation, and organizational skills
+ A curious, problem-solving mindset with a passion for continuous improvement
**Critical Requirements (eg: skills, experience, qualifications):**
+ Tertiary qualifications in engineering, bioengineering, or a related field with a focus on data management
+ Strong verbal and written communication skills, with proven teamwork ability
+ High attention to detail, accountability, and integrity in handling large datasets
+ Familiarity with programming languages such as Python, C++, or MATLAB
**Preferred Skills:**
+ Experience in clinical research or an engineering internship.
**Ready to make a difference in global healthcare?**
Apply now and be part of a team that's redefining medical technology through data-driven innovation.
**WHY STRYKER?**
+ Recognized as one of Australia's Best Places to Work
+ Competitive benefits including healthcare, insurance, and financial wellbeing support
+ Career development from day one, including training and mentorship
+ Paid parental leave, volunteer days, and access to an onsite gym
+ A supportive team culture that values fun, purpose, and performance
**Ready to make a difference in global healthcare?**
Click **Apply** and be part of a team redefining medical technology through data-driven innovation.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.
**About Stryker:**
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopedics and Spine that help improve patient and healthcare outcomes. Learn more at .
**The role:**
We're looking for a **Data Specialist** to join our Clinical Research Team. You'll work closely with research sites to manage and optimize data from Stryker studies-ensuring secure access, high-quality control, and actionable insights that support innovation and patient safety.
Whether you're a recent graduate or early in your career, we welcome your passion for data, curiosity, and initiative. You'll grow into a subject-matter expert on the datasets you handle, contribute to analytics projects, and develop research skills that deliver real value to patients and stakeholders.
If you're excited about making a real impact in healthcare through data, we'd love to hear from you!
**Key Responsibilities**
+ **Clinical Data Management** : Handle global study datasets, ensure secure access, maintain data quality, and coordinate corrections.
+ **Study & Operational Support** : Support study setup, monitoring, close-out, and database maintenance.
+ **Documentation & Scientific Contributions** : Assist with research proposals, contracts, literature reviews, and scientific outputs.
+ **Training & Process Improvement** : Train users, contribute to SOPs and eQMS documentation, and improve data workflow.
**What You Bring**
+ Strong interest in data management, data privacy and research operations
+ Ability to turn complex data into actionable insights
+ Excellent collaboration, documentation, and organizational skills
+ A curious, problem-solving mindset with a passion for continuous improvement
**Critical Requirements (eg: skills, experience, qualifications):**
+ Tertiary qualifications in engineering, bioengineering, or a related field with a focus on data management
+ Strong verbal and written communication skills, with proven teamwork ability
+ High attention to detail, accountability, and integrity in handling large datasets
+ Familiarity with programming languages such as Python, C++, or MATLAB
**Preferred Skills:**
+ Experience in clinical research or an engineering internship.
**Ready to make a difference in global healthcare?**
Apply now and be part of a team that's redefining medical technology through data-driven innovation.
**WHY STRYKER?**
+ Recognized as one of Australia's Best Places to Work
+ Competitive benefits including healthcare, insurance, and financial wellbeing support
+ Career development from day one, including training and mentorship
+ Paid parental leave, volunteer days, and access to an onsite gym
+ A supportive team culture that values fun, purpose, and performance
**Ready to make a difference in global healthcare?**
Click **Apply** and be part of a team redefining medical technology through data-driven innovation.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.
This advertiser has chosen not to accept applicants from your region.
8
Manager, Data Foundation
North Ryde, New South Wales
J&J Family of Companies
Posted 4 days ago
Job Viewed
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Governance & Policy
**Job Category:**
Professional
**All Job Posting Locations:**
North Ryde, New South Wales, Australia, SG003 Science Park Drive (Ascent)
**Job Description:**
**Job Description:** Data Foundation Manager at Johnson & Johnson Innovative Medicine (APAC Regional position)
**Position Overview:** Johnson & Johnson is seeking a dynamic and experienced full-time Manager to lead the implementation of data foundation programs across the APAC region. This regional role involves overseeing Data Quality, Data Catalog, Master Data Management, Data Visualization, and UI Development initiatives across multiple countries. The role includes enhancement of data foundation capabilities with Machine Learning and Generative AI. The successful candidate will be responsible for establishing and promoting Data Governance standards, driving automation, fostering data literacy, introducing new technologies and managing a team of contractors. Although there are no direct reports initially, the role is at a managerial level with potential to oversee direct reports in the future. The role includes hands-on work.
**Key Responsibilities:**
+ Lead the implementation of Data Quality monitoring systems, leveraging AI and Machine Learning techniques when applicable.
+ Define, develop, and enforce Data Governance policies and standards to ensure data integrity, security, and compliance.
+ Enrich and maintain the Data Catalog to facilitate data discovery and enhance understanding of our data assets.Introduce Generative AI techniques to improve Data Catalog's content.
+ Drive organizational data literacy initiatives and foster a data-driven culture across the APAC region.
+ Oversee and coordinate dashboards and analytical platforms.
+ Drive improvement of Data Governance tools, Data Analytics platform, enhance, and maintain front-end User Interfaces and Back-end systems.
+ Manage multiple contractors and influence IT DevOps teams to support platformsmaintenance, upgrades and evolution.
+ Engage effectively with remote stakeholders across different countries, ensuring clear communication, requirements gathering, and solution alignment despite geographic dispersion.
+ Provide strategic guidance, mentorship, and coordination between teams.
**Required Skills & Qualifications:**
+ Proven experience in Data Management, Data Governance, Data Quality, Data Catalog, Data Literacy programs or related fields.
+ Strong skills in Spark SQL and Regular Expressions (Regex) for Data Quality validation.
+ Good understanding of Databases, ETL processes, DevOps practices, and AWS Cloud infrastructure including Cloud Databases.
+ Knowledge of AI and Machine Learning concepts, particularly in the context of data quality and catalog enrichment (experience with GenAI preferred but not required).
+ Excellent remote communication skills. Demonstrated ability to manage multiple contractors and collaborate effectively with remote stakeholders across different countries.
+ Language: Fluency in English; second language skills in Korean, Japanese, or Chinese are advantageous but not mandatory.
+ Location: Japan, Korea, Australia
**Preferred Qualifications:**
+ Experience in healthcare, pharmaceutical, or regulated industries.
+ Familiarity with cloud platforms (AWS, Azure) and data platforms (Redshift).
+ Knowledge of AI/ML tools and frameworks relevant to data management.
**Offer:**
+ Opportunity to lead innovative AI-driven data initiatives across a diverse region.
+ Impactful work supporting healthcare advancements through data excellence.
If you're a strategic, cross-cultural communicator with a passion for data, AI, UI development, and managing complex projects remotely-especially with regional markets like Australia, Korea, Japan, or China-you could be a great fit for our team. We look forward to hearing from you!
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Governance & Policy
**Job Category:**
Professional
**All Job Posting Locations:**
North Ryde, New South Wales, Australia, SG003 Science Park Drive (Ascent)
**Job Description:**
**Job Description:** Data Foundation Manager at Johnson & Johnson Innovative Medicine (APAC Regional position)
**Position Overview:** Johnson & Johnson is seeking a dynamic and experienced full-time Manager to lead the implementation of data foundation programs across the APAC region. This regional role involves overseeing Data Quality, Data Catalog, Master Data Management, Data Visualization, and UI Development initiatives across multiple countries. The role includes enhancement of data foundation capabilities with Machine Learning and Generative AI. The successful candidate will be responsible for establishing and promoting Data Governance standards, driving automation, fostering data literacy, introducing new technologies and managing a team of contractors. Although there are no direct reports initially, the role is at a managerial level with potential to oversee direct reports in the future. The role includes hands-on work.
**Key Responsibilities:**
+ Lead the implementation of Data Quality monitoring systems, leveraging AI and Machine Learning techniques when applicable.
+ Define, develop, and enforce Data Governance policies and standards to ensure data integrity, security, and compliance.
+ Enrich and maintain the Data Catalog to facilitate data discovery and enhance understanding of our data assets.Introduce Generative AI techniques to improve Data Catalog's content.
+ Drive organizational data literacy initiatives and foster a data-driven culture across the APAC region.
+ Oversee and coordinate dashboards and analytical platforms.
+ Drive improvement of Data Governance tools, Data Analytics platform, enhance, and maintain front-end User Interfaces and Back-end systems.
+ Manage multiple contractors and influence IT DevOps teams to support platformsmaintenance, upgrades and evolution.
+ Engage effectively with remote stakeholders across different countries, ensuring clear communication, requirements gathering, and solution alignment despite geographic dispersion.
+ Provide strategic guidance, mentorship, and coordination between teams.
**Required Skills & Qualifications:**
+ Proven experience in Data Management, Data Governance, Data Quality, Data Catalog, Data Literacy programs or related fields.
+ Strong skills in Spark SQL and Regular Expressions (Regex) for Data Quality validation.
+ Good understanding of Databases, ETL processes, DevOps practices, and AWS Cloud infrastructure including Cloud Databases.
+ Knowledge of AI and Machine Learning concepts, particularly in the context of data quality and catalog enrichment (experience with GenAI preferred but not required).
+ Excellent remote communication skills. Demonstrated ability to manage multiple contractors and collaborate effectively with remote stakeholders across different countries.
+ Language: Fluency in English; second language skills in Korean, Japanese, or Chinese are advantageous but not mandatory.
+ Location: Japan, Korea, Australia
**Preferred Qualifications:**
+ Experience in healthcare, pharmaceutical, or regulated industries.
+ Familiarity with cloud platforms (AWS, Azure) and data platforms (Redshift).
+ Knowledge of AI/ML tools and frameworks relevant to data management.
**Offer:**
+ Opportunity to lead innovative AI-driven data initiatives across a diverse region.
+ Impactful work supporting healthcare advancements through data excellence.
If you're a strategic, cross-cultural communicator with a passion for data, AI, UI development, and managing complex projects remotely-especially with regional markets like Australia, Korea, Japan, or China-you could be a great fit for our team. We look forward to hearing from you!
This advertiser has chosen not to accept applicants from your region.
9