FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior AI Product Manager – Data and Governance
Qualified HealthSenior AI Product Manager owning data, analytics, evaluation, and governance products. Building reusable infrastructure and compliance capabilities for Qualified Health's healthcare AI platform.
Posted 8/10/2026full-timePalo Alto • California • 🇺🇸 United StatesSenior💰 $170,000 - $200,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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.
Highest-signal resume keywords
Product Management ExperienceData Analytics Product OwnershipSQL ProficiencyAI/ML Evaluation ExperienceHealthcare Compliance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelinesMedallion ArchitectureSemantic LayersAPIsSQLKPI CatalogsMetrics GovernanceETL ProcessesModel Quality EvaluationData Integration
Soft Skills
Excellent CommunicationInfluencing SkillsDecision-Making in Ambiguity
Tools & Technologies
Epic ClarityCaboodleHL7FHIR
Industry Keywords
HIPAAData PrivacyClinical SafetyHealthcare OperationsHealth System IT
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Competitive salaries
- Equity packages
- Robust medical/dental/vision insurance
- Flexible working hours
- Hybrid work options
- Inclusive environment that fosters creativity and innovation