Job Description
Insight Global is partnering with a healthcare technology company building AI‑driven, data‑centric platforms that support modern clinical trials. In this environment, data quality, semantics, and trust directly impact product behavior and customer outcomes.
We are hiring a Senior Technical Product Manager – Data to own core data platform capabilities end‑to‑end. This is a senior IC role for a product manager with a strong technical and data background who thrives in ambiguity and takes full ownership of outcomes.
This is not a data project manager, analytics lead, or reporting role.
Product strategy and outcomes for a federated, semantic, multimodal data layer spanning multiple clinical systems (e.g., EHR, labs, CTMS, eTMF, IRT, safety)
Defining how data is unified, interpreted, and trusted across the platform
Establishing expectations for data provenance, lineage, completeness, quality, and semantic meaning
Enabling consistent data access for both human‑facing applications and AI / agentic workflows
Reducing manual reconciliation and enabling cross‑system query, reasoning, and insight generation
Partnering deeply with engineering on architecture decisions, dependencies, and trade‑offs
Supporting platform capabilities required to deploy AI at scale (connectors, integrations, tooling, evaluation signals)
Owning outcomes after launch by monitoring adoption, trust, coverage, latency, and correctness
Operating in a regulated, high‑compliance environment, embedding auditability, privacy, and security into product decisions
Pay ranges from $25-$40/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 their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Technical background required (prior experience in engineering, data engineering, data science, or a closely related technical role)
5+ years of Product Management experience owning platform and/or data products in a B2B SaaS environment
Experience delivering federated data access across multiple enterprise systems (APIs, connectors, integration patterns)
Strong understanding of data modeling and semantics, including metadata, normalization, and mapping
Experience with ontologies or semantic layers is a nice‑to‑have, not required
Proven experience defining and operationalizing data provenance, lineage, traceability, and quality
Experience building shared data platforms consumed by multiple teams and product surfaces
Familiarity with AI / LLM platform concepts (tooling, routing, evaluation, monitoring)
Experience working in regulated or high‑compliance environments (healthcare, life sciences, fintech, government, etc.)
Strong communication skills with the ability to clearly explain complex data concepts to diverse audiences
Experience with federated, semantic, or multimodal data layers
Knowledge of ontologies, knowledge graphs, or semantic technologies
Experience designing data platforms specifically to support AI or agent reasoning
Familiarity with data governance, privacy, or regulated environments
Nice to Have Skills & Experience
Exposure to clinical or life sciences data systems (EHR, CTMS, eTMF, IRT, safety)
AI / agent foundations (RAG, agent tooling, evaluation, observability) — plus, not required
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.