Staff Oncology Data Product Manager

N-Power Medicine•Redwood City, CA

7h•$167,777 - $215,304

About The Position

N-Power Medicine is seeking a Staff Oncology Data Product Manager to own the vision, strategy, roadmap, and requirements for its oncology data platform, aligned with company goals and the needs of its ProECA studies. The role will manage the platform as a product by defining its customers, setting success metrics, and tracking adoption and value. Customers include biostatisticians, quantitative scientists, clinical operations teams, and pharmaceutical sponsors. The position works with a multidisciplinary team spanning engineering, data architecture, informatics, AI, quantitative science, clinical abstraction, and medical oncology. It is responsible for building regulatory-grade evidence into the platform, including traceability from source to dataset across EHR and imaging, data provenance, audit trails, and fit-for-purpose data quality. The role also maintains end-user documentation for each release and produces external-facing materials for pharmaceutical and health system partners. The manager prioritizes data use cases, oversees releases and build-versus-buy decisions, considers the effects of platform changes on active studies, and addresses gaps in execution, rollout, and ongoing support through stakeholder feedback. The position requires deep experience with oncology clinical data, regulated healthcare data products, relevant regulatory guidance and standards, EHR data structures, and data platform architecture. Travel of up to 25% is required. The expected salary range is $167,777–$215,304; the position is eligible for company benefits and may include equity at hire and a discretionary annual bonus.

Requirements

At least 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 and ADaM), and HIPAA.
Deep knowledge of EHR data structures and workflows, including HL7 and FHIR; clinical terminologies including ICD-10, SNOMED CT, LOINC, RxNorm, and 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, with the ability to use metrics to evaluate decisions and drive action.
Exceptional written and verbal communication skills and a track record of aligning oncologists, abstractors, biostatisticians, and engineers.
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 United States on a full-time basis; the company will not sponsor work visas.

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 N-Power Medicine’s 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 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.
Catalog and maintain 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 materials for pharmaceutical and health system partners, including capability decks, platform architecture, marketecture, data flow diagrams, and the data roadmap.
Prioritize data use cases and manage trade-offs.
Manage releases, build-versus-buy decisions, and the impact of platform changes on active studies.
Use continuous stakeholder feedback to close process gaps in execution, rollout, and ongoing support.