Senior Data Product Manager

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention.

Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It is our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.

At Edwards Lifesciences, the Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization designs and builds the software and data products that clinicians and patients depend on. As a Senior Data Product Manager, you own data product and platform strategy and roadmap for a single data domain and the research roadmap for a defined modeling area, writing the data product and platform requirements yourself and partnering with Data Engineers and Data Scientists as a technical peer who can read SQL, evaluate pipelines, and argue data models.

This is the first level at which data product managers join the Technical Product Management ladder. Based in Irvine, CA, you'll join a high-impact medtech innovation hub in the heart of Orange County, collaborating in person with cross-functional teams to shape patient-focused technology.

How you'll make an impact Domain data products and platform. Own data product and platform strategy and roadmap for a single data domain (a set of related datasets, a semantic layer or pipeline area, or a dashboard portfolio). Research roadmap.

Own the research roadmap for a defined modeling area or clinical problem cluster, in partnership with Data Scientists. Requirements, written yourself. Personally write detailed data product and platform requirements: schema specifications, pipeline requirements, SLAs, data quality requirements, and semantic definitions.

Prioritization tradeoffs. Own the calls within your domain: curated vs. raw data, semantic layer depth, pipeline definitions, dashboard vs. embedded analytics. Outcomes, measured. Measure data product and platform outcomes (adoption by downstream consumers, accuracy, decision impact, dashboard engagement).

Technical partnership. Partner closely with Data Engineers and Data Scientists as a peer who reads SQL, evaluates pipelines, argues data models, and participates in architecture reviews. Design control. Author data product requirements, including ALCOA+ integrity, retention, lineage, and consent contracts, that stand as design inputs under 21 CFR 820.30(c).

What you'll need (Required): Bachelor's degree in computer science, data, engineering, or a related quantitative field, plus 8 years in data or analytics product management, or equivalent work experience based on Edwards criteria. What else we look for (Preferred): A track record of owning a data product or data platform or analytics domain (datasets, feature stores, pipelines, semantic layers, or reporting products) with defined consumers and service levels.

Enough technical depth to read SQL, reason about data models and pipelines, and partner with Data Engineers as a peer. Working fluency with data science research direction, enough to shape a research roadmap with Data Scientists. Clear communication with engineering, science, clinical, and business partners.

Experience with regulated or clinical data, ALCOA+ integrity, and data governance (access, consent, retention). Familiarity with feature stores, semantic layers, and BI or analytics tooling. Exposure to clinical modeling and the research to productization pipeline.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California, the base pay range for this position is $121,000 to $171,000 (highly experienced).

The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.