Associate Product Manager, Data Sourcing

Datavant is looking for an Associate Product Manager to join our Life Sciences Product team in Barcelona, reporting to the Senior Director of Product for the Data Sourcing zone. Our team helps our customers close the gap between their research questions and the data that answers them.

This role has two areas of focus:

• Supporting our Record Retrieval team, which helps our customers build datasets derived from medical records, through dependable delivery and focused investment. You’ll help support existing Record Retrieval customers and select new business which meets our investment profile.
• Delivering improvements in Data Discovery, a suite of tools to help customers find and assess data for Life Sciences research. You’ll contribute to features which deliver Insights reporting to data sources, as well as our flagship agentic AI solution, Explore Assistant.

You’ll take responsibility for well-defined features and workstreams, working with Engineering, Design, Delivery, and commercial teams. With support from your manager and more experienced Product colleagues, you’ll turn customer needs into practical plans, follow features through delivery, and contribute insights to the team’s roadmap.

• →Support Record Retrieval customers and commitments. Track product issues and delivery needs with customer-facing teams, and help prioritize fixes and a limited set of improvements within the approved investment plan.
• →Keep Record Retrieval performance and scope visible. Gather product health, delivery effort, and commercial results for investment reviews. Help document product fit for selected new opportunities, coordinate Delivery review of scope and resourcing, and support partner referrals for abstraction.
• →Deliver defined Data Discovery improvements. Take responsibility for features across Insights reporting, Explore Assistant, and Datavant Connect, working within the direction set by the Product leads responsible for larger initiatives.
• →Participate in customer discovery and stakeholder discussions. Synthesize feedback, identify gaps, and use research and usage data to refine features and contribute to roadmap discussions.
• →Write clear requirements, user stories, and acceptance criteria. Explain the customer problem and expected outcome, consider edge cases, and work with Engineering and Design to balance user needs, technical constraints, and effort.
• →Organize and follow through on delivery. Maintain the backlog, define schedules and milestones for your features, track dependencies, and help resolve blockers. Escalate risks and decisions when additional support is needed.
• →Keep teams and stakeholders informed. Communicate progress, decisions, and changes clearly, and help align the project team around a practical execution plan.
• →Support feature validation, rollout, and adoption. Check that delivered functionality meets acceptance criteria, contribute documentation and release materials, answer feature-level questions, and review feedback and usage after launch.
• →Use AI tools thoughtfully throughout product development, including research synthesis, analysis, drafting, and prototyping. Check outputs for accuracy and follow company guidance on handling sensitive information.

• 1–2 years of experience in product management or an adjacent role, such as business analysis, product operations, implementation, or software delivery. Relevant internships and project experience are welcome.
• The ability to break a well-defined problem into practical steps, write clearly, and follow through with attention to detail and reliability.
• Strong organization and communication skills, including clear written and spoken English and the ability to work with colleagues across teams and time zones.
• Curiosity about customers and the ability to use feedback and evidence to improve a feature or workflow.
• A collaborative approach to working with Engineering, Design, Delivery, and commercial teams, including openness to feedback and sound judgment about when to ask for support.
• An interest in learning Datavant’s business model, the healthcare data ecosystem, and relevant privacy and regulatory considerations, and understanding how product decisions affect customers and internal teams.

• Exposure to healthcare or life sciences data, record retrieval, or enterprise software.
• Experience with customer research, reporting, product analytics, or workflows that combine software and operational delivery.
• Familiarity with Agile development, Jira, writing requirements, or validating features against acceptance criteria.
• Practical use of AI tools to support research, analysis, prototyping, or everyday product work.