C-BRAIN Senior Technical Product Manager - Neurology

🏒 Washington University in St. Louis · all Washington University in St. Louis jobs
πŸ“ United States
πŸ’° USD 96,000 - 169,300 / annual
πŸ“… Posted 2026-08-22 Β· via Himalayas
🏷 Technical-Product-Management,Technical-Program-Management,AI-ML-Product-Management,Product-Owner,Data-Engineering-Coordination,Neurosciences-Product-Management,Product-Manager,Technical-Product-Manager,Product
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Location
Remote, US Scheduled Hours
40 Position Summary
The C-BRAIN Senior Technical Product Manager is a senior, independent-contributor role responsible for product ownership and technical program management across C-BRAIN's AI tool portfolio. Reporting to the C-BRAIN Chief Technology Officer (CTO), this role owns the day-to-day product and technical operations management functions: product backlog management, milestone tracking, vendor and contractor management, data engineering coordination, DUA management, and technical reporting. The ideal candidate brings both product management discipline and technical program management depth. They should be able to translate user and stakeholder needs into product requirements, manage a backlog in coordination with the CTO, track complex multi-workstream technical programs, and manage high-stakes relationships with external industry partners β€” pharmaceutical and biotech companies, academic institutions, and technology partners β€” with the professionalism and judgment to represent C-BRAIN externally without close supervision. Familiarity with data engineering environments β€” pipelines, ingestion, ETL, and cloud infrastructure β€” is important given the dedicated data engineering coordination responsibilities. A significant component of this role is external-facing partner program management: coordinating directly with consortium member organizations on data contributions, DUA execution, and technical working groups. Candidates with experience limited to internal administrative functions will not be competitive. C-BRAIN-specific knowledge will be provided; PM fundamentals and partner-management credibility will not. Job Description
Primary Duties & Responsibilities:

Product Management & Technical Program Tracking

- Maintains and manages the C-BRAIN product backlog as directed by the CTO: translates the CTO’s product priorities into a structured, current backlog across all AI tools; tracks deliverable status and flags gaps; coordinates sprint or iteration cycles with the development team to ensure execution stays aligned with the CTO’s direction.

- Maintains the C-BRAIN product milestone tracker: coordinates with the CTO to define milestone structure and success criteria, tracks deliverable status, flags risks and delays proactively to the leadership team.

- Manages the vendor and contractor lifecycle: coordinates SOW drafting, routes for WashU legal and contracts review, tracks execution, manages contractor onboarding, and verifies invoices against SOW milestones.

- Leads UAT coordination: owns the user testing process end-to-end β€” schedules sessions, manages documentation, tracks feedback, synthesizes findings for the CTO, and supports sign-off and release decisions.

- Escalates scope deviations, timeline slippage, or quality issues to the appropriate parties; assists with resolving contractor performance issues as needed.

Data Engineering Oversight & Coordination

- Tracks data pipeline development and infrastructure status in coordination with the CTO: monitors progress on data ingestion workflows, ETL processes, and data quality validation systems.

- Serves as coordination liaison between data scientists, data engineers, and the C-BRAIN leadership team: schedules technical working sessions, maintains documentation of data architecture decisions, tracks technical dependencies and blockers.

- Monitors data engineering deliverables: flags pipeline delays or quality issues to leadership, tracks resolution of technical incidents, and maintains a log of data infrastructure updates.

- Supports data engineering resource planning and vendor coordination: assists with contractor onboarding, tracks data infrastructure costs, and coordinates with vendors providing data engineering services.

Data Use Agreement & Member Data Management

- Oversees the full DUA lifecycle: defines dataset requirements and specifications with consortium members and the CTO; directs the Technical Ope

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