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. 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; and producing traceable datasets aligned to a common or customer-defined data model and meeting the privacy requirements to be HIPAA de-ID. 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.

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; improving data quality, lineage, and reproducibility; Own the product strategy and roadmap for data harmonization.

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. Define the sequencing, data contracts,



and controls required so that privacy transformations preserve mapping integrity, analytical utility, and source-to-output traceability.

Work with Engineering to spec the full pipeline: intake, quality checks, mapping, transformation, validation, and delivery (file, API, or data platform) with full traceability. Define requirements for human review and exception management, schema drift, incremental data refreshes, failed transformations, quality thresholds, monitoring, and ongoing support. Understand customers’ source data, target models, use-cases and delivery constraints.

Partner with Data Science and Delivery to productize services. Shape the commercial offering with GTM. Help define packaging, implementation models, pricing inputs, positioning, and sales enablement. Serve as the Agile Product Owner by prioritizing the backlog, writing requirements and acceptance scenarios, managing dependencies, and partnering with Engineering through discovery, delivery, launch, adoption, and iteration.

Define and track product performance. Establish metrics to track offering performance such as time to analytics-ready data, percentage of mappings and rules reused, automated mapping coverage, and customer adoption. 5+ years of product management or technical product ownership experience, preferably with data platforms, data integration, developer tools, enterprise workflows, or analytics products. ~ Demonstrated experience making build-versus-buy-or-partner decisions, including vendor evaluation, technical due diligence, proof-of-concept design, business-case development, and total-cost-of-ownership analysis. ~ Strong grounding in data integration and ETL/ELT concepts, including pipelines, schema mapping, transformation, APIs, metadata, lineage, validation, and batch or incremental processing. ~ Enough technical fluency to review data dictionaries, source-to-target mapping specifications, SQL, API documentation, transformation logic, and data-quality results with engineers and data scientists.

Experience translating complex,



expert-led, or services-heavy workflows into repeatable product capabilities and internal or customer-facing software. ~ Familiarity with one or more health data models and standards, such as OMOP, CDISC/SDTM, or HL7 FHIR, and an understanding that common data models, research submission standards, and exchange standards serve different purposes. ~ Strong analytical and product judgment, including the ability to define success metrics, test assumptions, evaluate tradeoffs, and make decisions with incomplete information. ~ Strong written and verbal communication skills, with the ability to explain complex technical decisions, keep open questions visible, and align stakeholders across Product, Engineering, Data Science, Delivery, Privacy, and GTM. ~ Experience delivering enterprise-grade software and operating within Agile product-development teams. ~ Passion for improving healthcare and making health data more usable, trustworthy, and valuable.

Experience with real-world data and evidence, including claims, electronic health records, laboratory, pharmacy, registry, or clinical research data. Hands-on experience implementing or working with OMOP or another healthcare common data model.

Experience with data-quality frameworks, source-to-target mapping governance, terminology management, or metadata and lineage platforms.

Experience with cloud data platforms and technologies such as Snowflake, Databricks, AWS, SQL, or Python.

Experience partnering deeply with data science, informatics, epidemiology, biostatistics, or data-delivery teams. To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. This job is not eligible for employment sponsorship.

We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

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