Data Product Owner

About the Role

This position, posted by Jobgether on behalf of a partner company, seeks a Remote Data Product Owner to significantly impact disease diagnosis and treatment. You will manage data products within a collaborative genomics-focused team, working closely with software developers, project managers, and community specialists. Your contributions will enhance the use of genomic data, develop user-centric solutions for responsible data management, shape data architecture, and support genomic research goals. If you are passionate about data and its potential to improve human health, this position as a Data Product Owner is for you.

Accountabilities

• Overarching responsibility for data products related to participant recruitment and genomic data analysis.
• Design of data solutions in collaboration with teams for end-to-end data workflows.
• Ensure respectful and secure handling of data from under-represented groups.
• Develop research data governance policies.
• Manage data flow and coordination across the project through effective vendor management.
• Facilitate data product management decisions to ensure consistency and sustainability.
• Capture requirements from technical and non-technical stakeholders.
• Articulate data governance and management best practices to diverse audiences.
• Collaborate on technical decision-making and documentation of data products.

Requirements

• Minimum 5 years of experience in data product ownership or data engineering.
• Ability to translate business requirements into technical solutions.
• Experience in designing reliable and scalable data products and workflows.
• Familiarity with data modeling standards such as UML 2.0 and ER Diagrams.
• Strong communication skills to explain complex concepts clearly.
• Curious and eager to learn new techniques in data science.
• Experience in implementing and designing data pipelines.
• Background in data analysis and process improvement.
• Team-oriented with a focus on collaborative problem-solving.

Benefits

• Generous salary packaging options for tax savings.
• Opportunities for ongoing training and development.
• Diverse and stimulating research environment.
• Flexible work arrangements, including flexible start/finish times.
• 18 weeks of paid parental leave for both parents.
• Additional leave options to meet personal needs.
• Discounted health insurance offerings.
• Lifestyle discounts through community partners.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key skills/competency

• Data Product Ownership
• Data Engineering
• Genomics Data Management
• Data Architecture Design
• Data Governance Policies
• UML 2.0 & ER Diagrams
• Data Pipeline Implementation
• Stakeholder Requirements Gathering
• Scalable Data Solutions
• Data Analysis & Improvement