Product Manager, Data Harmonization

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. About the Role Datavant is seeking a versatile, technically fluent, and commercially minded Product Manager to own Data Harmonization within our Life Sciences business. This role sits on the Data Utility team, which develops privacy, remediation, and harmonization capabilities that make health data more usable for research and analytics. At Datavant, data harmonization means transforming disparate real-world datasets into standardized, quality-validated, privacy compliant, analytics-ready assets. The workflow includes profiling source data; mapping schemas and clinical concepts; normalizing formats, units, and vocabularies; validating outputs; managing exceptions; and producing traceable datasets aligned to a common or customer-defined data model and meeting the privacy requirements to be HIPAA de-ID. These capabilities must integrate cleanly with Datavant’s ingestion, privacy, expert determination, and downstream analytics workflows. This is a zero-to-one product strategy and execution role , not simply a feature-delivery role. You will begin by defining the end-to-end harmonization workflow with customers and our Delivery team, including where software can automate work and where expert judgment remains necessary. You will then determine which capabilities Datavant should build, buy, or deliver through partners, leading structured vendor evaluations and proofs of concept. As the strategy matures, you will turn repeatable delivery work into scalable software, reusable mapping assets, and a commercially viable product offering. You will partner closely with Engineering, Data Science, Delivery, Privacy, Platform, and Go-to-Market teams and work directly with customers’ data engineering, informatics, analytics, and research teams. Success in this role will be measured by reducing the time and effort required to move from source data to analytics-ready outputs; increasing reuse of mappings and transformation rules; improving data quality, lineage, and reproducibility; reducing manual delivery effort and rework; and driving customer adoption. What You’ll Do Own the product strategy and roadmap for data harmonization. Define the target users, priority use cases, product boundaries, business case, and phased path from service-supported workflows to scalable product capabilities. Define and own the end-to-end workflow. Map the process from source-data intake, profiling, and quality assessment through schema and semantic mapping, transformation, validation, privacy and remediation, and final analytics-ready delivery. Clarify how harmonization interacts with privacy and remediation. Define the sequencing, data contracts, and controls required so that privacy transformations preserve mapping integrity, analytical utility, and source-to-output traceability. Lead build, buy, and partner decisions. Establish evaluation criteria, assess vendors, run proofs of concept using representative datasets, and make defensible recommendations. Define the technical requirements and build reusable assets. Work with Engineering to spec the full pipeline: intake, quality checks, mapping, transformation, validation, and delivery (file, API, or data platform) with full traceability. Productize (or implement via a partner) the mapping templates, transformation rules, and validation logic…