Senior AI Product Manager – Data and Governance

• • Own the roadmap for data and analytics products, balancing customer commitments, internal builder needs, and platform reuse
• • Define serving contracts, gold-layer marts, and semantic views for AI assistants, chat, workflows, and dashboards
• • Own customer-facing dashboards, usage and adoption analytics, cost and token observability, and the KPI catalog
• • Turn per-customer data builds into reusable data products with clear interfaces
• • Define generalization requirements for scored and modeled outputs
• • Write complete acceptance criteria before work enters a sprint
• • Run the vetting process for customer-facing KPIs and own the metrics catalog
• • Own cost observability, attributing model calls and pricing workflows
• • Define reusable evaluation gates for AI-powered products, including validation, scale generalization, and post-go-live monitoring
• • Own the governance product surface, including audit trails, monitoring, and compliance evidence
• • Establish ownership contracts for ETL, business logic, and integration surfaces
• • Define success metrics for reuse and data product health
• • Navigate HIPAA, data privacy, and clinical safety requirements
• • Sit on the Platform pod, report to the SVP of Product, and partner with data platform, analytics, engineering, and product leadership

• Bachelor's Degree in Engineering, Computer Science, or a related technical field
• 6+ years of product management experience
• 3+ years owning data, analytics, or platform products
• Demonstrated ability to turn customer- or team-specific data capabilities into shared products
• Technical fluency with pipelines, medallion architectures, semantic layers, and APIs
• Ability to read schemas 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, including evaluation frameworks, offline/online testing, or production model monitoring
• Experience with enterprise data integration
• Experience shipping products in regulated environments such as healthcare or finance
• Excellent communication and influencing skills
• Comfort with ambiguity and making decisions with incomplete information
• Able to work onsite in Palo Alto 3 days/week
• Legal authorization to work in the United States for any employer without requiring sponsorship now or in the future
• Understanding of healthcare operations, health system IT environments, clinical data models, or AI governance frameworks is a bonus
• Experience with EHR data, including Epic Clarity/Caboodle, HL7, or FHIR, is a strong plus

Demonstrates expertise in product management for data and analytics products, with a strong focus on defining metrics, governance, and compliance in regulated environments. Proficient in technical fluency with data pipelines, SQL, and AI/ML evaluation frameworks.

• Product Management Experience
• Data Analytics Product Ownership
• SQL Proficiency
• AI/ML Evaluation Experience
• Healthcare Compliance Knowledge

• Data Pipelines
• Medallion Architecture
• Semantic Layers
• APIs
• SQL
• KPI Catalogs
• Metrics Governance
• ETL Processes
• Model Quality Evaluation
• Data Integration

• Excellent Communication
• Influencing Skills
• Decision-Making in Ambiguity

• HIPAA
• Data Privacy
• Clinical Safety
• Healthcare Operations
• Health System IT

• Epic Clarity
• Caboodle
• HL7
• FHIR