Technical Product Manager - Data

Job Description We are hiring a Technical Product Manager with a strong data background to define and build a federated, semantic, multimodal clinical data layer. This platform will query across disparate clinical systems (EHR, labs, CTMS, eTMF, IRT, safety, etc.) and return unified, trusted views with full provenance. This data layer will serve as the shared foundation for both agent reasoning and App Studio interfaces, ensuring that what agents "see" is consistent with what users see. The role is deeply hands"‘on and build"‘oriented, focused on defining data infrastructure, semantic structure, and pipeline foundations that enable scalable data products and future AI capabilities. This is a true Technical PM role, ideal for an engineer or data scientist who transitioned into product, with real experience shipping data platforms"”not just defining requirements. What You'll Work On Designing and driving a federated data platform that queries across multiple clinical systems Defining semantic structure, ontologies, and labeling to make data interpretable and trustworthy Establishing data provenance, lineage, and metadata standards Defining the data infrastructure required to support AI and agent reasoning (AI itself is a plus, not a prerequisite) Building a single shared data foundation used by both agents and human-facing applications Partnering directly with engineering to make architecture and delivery tradeoffs The Problems This Role Solves Clinical data is siloed and inaccessible, requiring manual reconciliation and slowing decisions Data lacks provenance and semantic context, limiting trust and usability Agents and applications lack a shared data foundation, causing inconsistency and mistrust Pay ranges from $25-$30/hr We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of ... [EEO statement continues] Skills and Requirements Data & Technical Foundation Strong data background with hands"‘on experience in data systems and infrastructure Proven experience driving data platform development from a product role Deep understanding of data pipeline infrastructure (ETL/ELT, orchestration, modeling, warehouses/lakes) Experience defining and shipping data products (platforms, datasets, semantic layers, APIs) Semantic & Platform Expertise Demonstrated experience with semantic structuring of data Ability to define ontological/semantic layers and canonical data models Experience establishing data provenance, lineage, and metadata standards Comfort reasoning about federated data access and unified views across systems Product Execution Has been in the build: actively involved in architecture decisions, tradeoffs, and delivery Can clearly articulate what actually went live, what didn't, and why Strong ability to translate complex data problems into executable product plans Comfortable operating in ambiguity and building foundational platforms (0→1) Role Profile Technical PM with real technical fluency Background as an engineer → PM or data scientist → PM is strongly preferred IC role (level TBD) Experience with federated, semantic, or multimodal data layers Knowledge of ontologies, knowledge graphs, or semantic technologies Exposure to clinical or life sciences data systems (EHR, CTMS, eTMF, IRT, safety) AI / agent foundations (RAG, agent tooling, evaluation, observability) "” plus, not required Experience designing data platforms specifically to support AI or agent reasoning Familiarity with data governance, privacy, or regulated environments #J-18808-Ljbffr

Created: 2026-04-20