VP of Data

Swoop

VP of Data leading unified data strategy for MyHealthTeam. Overseeing data engineering, analytics, governance, and AI readiness.

Posted 4/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $220,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Lead the unified data organization spanning Data Engineering (ETL, pipelines, warehouse, modeling), Analytics (enterprise reporting, business intelligence, predictive modeling), 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.
Strengthen analytics as a strategic partner to the business.
Drive proactive insight generation, strategic framing of data for leadership, and enterprise-level thinking about how data creates competitive advantage.
Be a hands-on technical leader who can go deep on architecture, data modeling, and pipeline design when needed, while also excelling as a team manager, mentor, and executive partner.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Mission-driven work with massive reach: Help millions of people find support and better health outcomes.
A pivotal leadership role: Shape the data strategy that powers an AI-forward company.
High-ownership culture: Small teams, fast shipping, and visible impact.
Strong collaboration: Product, engineering, data, and domain experts work together.
A chance to build a moat: Make data fluency and AI fluency part of the company's operating DNA.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringETLdata pipelinesdata warehousingdata modelingdata governanceAI readinesspredictive modelingsemantic architecturedata strategy

Soft Skills

leadershipmentoringstrategic thinkingstakeholder managementcommunicationoperational excellenceinsight generationteam managementexecutive presencecross-functional collaboration