VP of Data, MyHealthTeam

About the role

MyHealthTeam builds communities for people living with chronic and rare conditions. We reach millions of people each month and are investing deeply in AI to help members find the right support, content, and recommendations.

Responsibilities

• Lead the unified data organization spanning Data Engineering, Analytics, data governance and standards, and AI data readiness and semantic architecture.
• Build a multiyear data architecture roadmap that aligns data modeling with enterprise consumption needs and ensures structured data is ready to power AI use cases.
• Drive proactive insight generation, strategic framing of data for leadership, and enterprise-level thinking about how data creates competitive advantage.
• Define how AI and LLM tools become part of everyday workflows. Work in partnership with business users to define and implement the pattern for delivering refreshable, governed datasets into AI assistant environments to enable business teams to self-serve from current data without manual uploads or file management.
• Systematically organize key operating data sources into structured pipelines that allow LLM tools to safely and reliably assist employees.
• Establish governance, consistency, and clarity across data systems, ensuring data quality, accessibility, and auditability at scale.
• Drive operational excellence in data delivery. Improve service levels to business teams, clarity of prioritization, transparency in timelines, and consistency in delivery through process redesign, project management discipline, and tooling improvements.
• Partner closely with Engineering, Product, and operating leaders to ensure schema design aligns with business usage and LLM readiness is built into data architecture from the ground up.

Qualifications

• 12+ years of experience in data engineering, analytics, or related fields, with 5+ years in senior leadership roles managing cross-functional data teams.
• Proven track record building and scaling unified data organizations (engineering and analytics) in a product-driven company.
• Deep expertise in modern data architecture: warehousing, ETL/ELT pipelines, data modeling, and governance at scale.
• Strong understanding of how structured data enables AI/LLM use cases, including semantic layers, retrieval systems, and data readiness patterns.
• Experience defining and executing multiyear data strategy and roadmaps at the executive level.
• Demonstrated ability to elevate analytics from reactive reporting to proactive, strategic insight generation.
• Strong executive presence and stakeholder instincts: you can partner with senior leaders across the business and translate data capabilities into competitive advantage.
• Experience driving operational excellence in data delivery — improving responsiveness, prioritization, and service levels for business teams.

Nice-to-have qualifications

• Experience in healthcare, health tech, or regulated environments (HIPAA/PHI familiarity a plus).
• Hands-on familiarity with LLM and AI tooling and an appreciation for how emerging AI capabilities reshape data strategy.
• Experience with experimentation platforms, causal inference, and measurement frameworks.
• Background in consumer products with large-scale behavioral, text, or clickstream data.
• Demonstrated ability to drive AI and data fluency across nontechnical teams, with a track record of both delivery and adoption.
• Ability to meet in person in our San Francisco office two days per week, or if located remotely, travel up to quarterly for onsites.

Pay

The Pay Range For This Role Is 220,000 - 260,000 USD per year (Remote (United States)).