Staff Oncology Data Product Manager
About The Position
N-Power Medicine is hiring a Staff Oncology Data Product Manager to own the vision, strategy, roadmap, and requirements for its oncology data platform, aligned with company goals and ProECA study needs. The role manages the platform as a product by defining its customers—including biostatisticians, quantitative scientists, clinical operations, and pharma sponsors—setting success metrics, and tracking adoption and value. The position works with engineers, data architects, informaticists, AI engineers, quantitative scientists, clinical abstractors, and medical oncologists. It builds regulatory-grade evidence into the platform, including source-to-dataset traceability across EHR and imaging, data provenance, audit trails, and fit-for-purpose data quality aligned with FDA guidance on external controls. The role also maintains end-user documentation for each release and creates external-facing materials for pharma and health system partners. The Product Manager prioritizes across data use cases, manages releases and build-versus-buy decisions, considers the impact of platform changes on active studies, and addresses process gaps in execution, rollout, and ongoing support through stakeholder feedback. The role requires 8+ years of product management experience owning a healthcare data product in a regulated environment, deep oncology clinical data knowledge, and familiarity with relevant regulatory guidance, standards, EHR structures, terminologies, and data platform concepts. Travel may be up to 25%. The position is eligible for company benefits and offers equity at hire and a discretionary annual bonus that may be available based on company performance.
Requirements
- 8+ years of product management experience owning a healthcare data product in a regulated environment.
- Deep background in oncology clinical data, including AJCC staging, histology, biomarker and genomic testing, lines of therapy, RECIST-based response, progression, and survival endpoints.
- Working command of FDA guidance on externally controlled trials and use of EHR data in clinical investigations, 21 CFR Part 11, ICH GCP, CDISC (SDTM, ADaM), and HIPAA.
- Deep knowledge of EHR data structures and workflows (HL7, FHIR), clinical terminologies (ICD-10, SNOMED CT, LOINC, RxNorm, NCI Thesaurus), and data governance.
- Strong grounding in data platform architecture, data modeling, normalization, and transformation.
- Experience writing functional and technical specifications for data platforms.
- Strong analytical skills and data intuition, including using metrics to evaluate decisions and drive action.
- Exceptional written and verbal communication and a track record of aligning oncologists, abstractors, biostatisticians, and engineers.
- Deep empathy for platform users, including quantitative scientists, epidemiologists, and study teams, and the ability to translate their needs into product requirements.
- Currently authorized to work in the U.S. on a full-time basis.
Nice To Haves
- Understanding of the oncology drug development lifecycle and how sponsors analyze data across clinical development, regulatory, and medical affairs.
- Experience with prospective clinical research operations, including protocols, EDC, source data verification, monitoring, and inspection readiness.
- Experience with AI-assisted clinical data abstraction.
- Experience with data delivery and access platforms such as Databricks, Snowflake, and APIs.
- Agile delivery experience with tools such as JIRA.
Responsibilities
- Own the vision, strategy, roadmap, and requirements for the oncology data platform, aligned with business goals and ProECA study needs.
- Manage the platform as a product by defining customers, setting success metrics, and tracking adoption and value.
- Collaborate with engineers, data architects, informaticists, AI engineers, quantitative scientists, clinical abstractors, and medical oncologists.
- Build regulatory-grade evidence into the platform, including EHR and imaging source-to-dataset traceability, data provenance, audit trails, and fit-for-purpose data quality aligned with FDA guidance on external controls.
- Catalog and provide end-user documentation for each platform release, including data dictionaries, vocabularies, CDISC-aligned specifications, data quality scorecards, licensing, and de-identification certifications.
- Produce external-facing collateral for pharma and health system partners, including capability decks, platform architecture, marketecture, data flow diagrams, and the data roadmap.
- Prioritize across data use cases and manage trade-offs.
- Manage releases, build-versus-buy decisions, and the effects of platform changes on active studies.
- Close process gaps in execution, rollout, and ongoing support through continuous stakeholder feedback.
Benefits
- Equity at hire.
- Discretionary annual bonus, which may be available based on company performance.
- Company benefits.
- 401K plan.
- Competitive industry benefits.
- Balanced and flexible work environment.
- Other company perks.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
