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Datavant

De-identification and linking health data SaaS

Associate Product Manager - Data Sourcing

Product ManagementConfirmed live in the last 24 hours
Full-timeBarcelona, SpainNo salary listed

About the Job

Requirements

  • 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.
  • 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 ability to use feedback and evidence to improve a feature or workflow.
  • Collaborative approach to working with Engineering, Design, Delivery, and commercial teams, including openness to feedback and sound judgment about when to ask for support.
  • 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.

Responsibilities

  • Support Record Retrieval customers and commitments by tracking product issues and delivery needs with customer-facing teams, and helping prioritize fixes and a limited set of improvements within the approved investment plan.
  • Keep Record Retrieval performance and scope visible by gathering product health, delivery effort, and commercial results for investment reviews; documenting product fit for selected new opportunities; coordinating Delivery review of scope and resourcing; and supporting partner referrals for abstraction.
  • Deliver defined Data Discovery improvements across Insights reporting, Explore Assistant, and Datavant Connect, working within the direction set by 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 requirements, user stories, and acceptance criteria that explain the customer problem and expected outcome, consider edge cases, and balance user needs, technical constraints, and effort with Engineering and Design.
  • Organize and follow through on delivery by maintaining the backlog, defining schedules and milestones for features, tracking dependencies, helping resolve blockers, and escalating risks and decisions when additional support is needed.
  • Keep teams and stakeholders informed by communicating progress, decisions, and changes clearly, and helping align the project team around a practical execution plan.
  • Support feature validation, rollout, and adoption by checking delivered functionality against acceptance criteria, contributing documentation and release materials, answering feature-level questions, and reviewing feedback and usage after launch.
  • Use AI tools throughout product development for research synthesis, analysis, drafting, and prototyping; check outputs for accuracy and follow company guidance on handling sensitive information.

Desired Qualifications

  • 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.

About the Company

Datavant

De-identification and linking health data SaaS

Datavant provides software to securely share health data by removing personal identifiers and linking records from multiple sources. Its SaaS platform de-identifies datasets and connects data across hospitals, research centers, pharma, and public health groups for cohesive analysis. It differentiates itself by combining privacy-preserving de-identification with cross-source data linkage in the health sector, supporting interoperability while protecting privacy. Its goal is to enable secure, privacy-friendly exchange of health information to advance research, patient care, and public health.

Company size
5,001-10,000
Company stage
Series B
Total funding
$80.5M
Headquarters
San Francisco, CA
Founded
2017

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