Senior AI PM for Data and Governance

Qualified Health PBC•Palo Alto, CA

2d•$170,000 - $200,000•Hybrid

About The Position

Qualified Health is redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change. This is an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. The role involves owning the connected core of the platform: data, analytics, evaluation, and governance. This includes the data layer as a product, the analytics and insights surfaces, the evaluation frameworks, the governance spine, and the contracts that connect the data organization to every product. It is an integrator and enabler role, focusing on creating connective tissue between teams and absorbing coordination work to make teams faster.

Requirements

Bachelors Degree in Engineering, Computer Science, or a related technical field
6+ years of product management experience, with 3+ years owning data, analytics, or platform products
Demonstrated pattern recognition across products: you have taken data capabilities built for one customer or team and turned them into shared products others adopted
Deep technical fluency: you can go toe-to-toe with engineers and data engineers on pipelines, medallion architectures, semantic layers, and APIs, and you can read a schema and write SQL
Experience defining and governing metrics: KPI catalogs, semantic layers, or analytics products at scale
Experience with AI/ML evaluation or model quality: eval frameworks, offline/online testing, or monitoring of models in production
Experience with enterprise data integration; EHR data (Epic Clarity/Caboodle, HL7, FHIR) is a strong plus
Experience shipping products in regulated environments (healthcare, finance, or similar)
Excellent communication skills: you can explain data architecture tradeoffs to executives and product requirements to engineers, and you can influence teams you do not manage
Comfort with ambiguity and ability to make decisions with incomplete information
Able to work onsite in Palo Alto 3 days/week

Nice To Haves

Understanding of healthcare operations, health system IT environments, clinical data models, or AI governance frameworks (NIST AI RMF, ISO 42001).

Responsibilities

Own the roadmap for data and analytics products, balancing customer commitments, internal builder needs, and platform reuse
Map every analytics question to its source system and own the architecture decisions for how data lands in the serving layer
Turn per-customer data builds into reusable data products with clear interfaces
Define and enforce generalization requirements for scored and modeled outputs
Write complete acceptance criteria before work commits to a sprint
Run the vetting process for customer-facing KPIs and own the metrics catalog end to end
Own cost observability as a product
Define the evaluation gates for AI-powered products and own them as reusable platform capability
Own the governance product surface: audit trails, monitoring, and the evidence customers and their compliance teams need to trust AI in production
Partner with the data platform and analytics leads to establish and maintain ownership contracts for ETL, business logic, and integration surfaces
Define success metrics for reuse and data product health and use them to drive prioritization
Navigate healthcare regulatory requirements (HIPAA, data privacy, clinical safety) as first-order product constraints