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 Technical Product Manager, you own data product and data platform strategy and roadmap for a single data domain and the research roadmap for a defined modeling area, writing the data product and data 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. 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 data platform. Own data product and data 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 data 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, dashboard vs. embedded analytics. • Outcomes, measured. Measure data product and data 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 software/data design inputs under 21 CFR 820.30(c). What you'll need (Required) • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, or a related field and 8 years of hands-on experience managing projects of increasing complexity, or equivalent work experience based on Edwards criteria. • Demonstrated experience owning a data product, data platform, or advanced analytics domain with defined consumers, data contracts, and service levels. • Experience in data or advanced analytics product management. • Proven ability to write detailed data product requirements, including schema specifications, pipeline requirements, service level agreements, data quality requirements, and semantic definitions. What else we look for (Preferred): • 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.