Staff Oncology Data Product Manager

Role Objectives and Responsibilities

● Own the vision, strategy, roadmap and requirements for the oncology data platform,
aligned with N-Power's business goals and the needs of our ProECA studies.

● Manage the platform as a product: define its customers (biostatisticians, quantitative
scientists, clinical operations, and pharma sponsors), set success metrics, and track
adoption and value.

● Collaborate with a cross-functional team of engineers, data architects, informaticists, AI
engineers, quantitative scientists, clinical abstractors, and medical oncologists.

● Build regulatory-grade evidence into the platform: 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 be able to point to end-user documentation for each data platform release:
data dictionaries, vocabularies, CDISC-aligned specifications, data quality scorecards,
licensing, and de-identification certifications.

● Produce external-facing collateral for pharma and health system partners: capability
decks, platform architecture, marketecture, data flow diagrams, and the data roadmap.

● Prioritize relentlessly and manage trade-offs across various data use cases.

● Manage releases, build vs. buy decisions, and the impact of platform changes on active
studies.

● Close process gaps in execution, rollout, and ongoing support through continuous
stakeholder feedback.

Education, Experience, Behavioral Competencies, & Skills

● 8+ years of product management experience owning a healthcare data product in a
regulated environment.

● Deep background in oncology clinical data: 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, 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: uses metrics to evaluate decisions and drive
action.

● Exceptional written and verbal communication, with 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 turn their needs into product requirements.

 Preferred:

● 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: 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 with tools such as JIRA.

Travel Requirements

Up to 25% travel

Pay Information

The expected salary range for this position is $167,777 - $215,304. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. N-Power Medicine (NPM) offers equity at hire as well as a discretionary annual bonus, which may be available based on Company performance. This position is eligible for company benefits.

About Us:

We are a mission-driven, well-funded, rapidly growing company, eager to attract passionate professionals offering a highly attractive compensation package with a balanced and flexible work environment, competitive industry benefits as well as a 401K plan and other great company “perks.”

We are an Equal Opportunity Employer and value diversity at our company. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Applicants must be currently authorized to work in the U.S. on a full-time basis.

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