Head of Engineering (Data Platform)

Role Overview

Our data platform powers one of healthcare's most ambitious technology transformations. We are looking for a Head of Engineering, Data Platform to own this critical initiative. This is a builder's role first; you will set technical strategy and write the code that proves it out, working alongside a small, focused team and reporting directly to the Corporate CTO.

The ideal candidate still loves the craft and wants to build alongside a small, engaged team of engineers. You will bring a clear point of view on what a modern data platform should look like, the technical depth to make it real, and the leadership instincts to develop the team around you.

Key Responsibilities

• Platform Ownership: Own the data platform end-to-end—architecture, tooling decisions, and roadmap—with a bias toward enabling broad, self-serve access to data across the business.
• Hands-on Engineering: Be hands-on with Snowflake and DBT, contributing directly alongside the team on builds, migrations, and optimizations.
• System Integration: Integrate and rationalize a complex ecosystem of source systems and vendors into a cohesive, reliable data warehouse.
• Data Modeling: Define and evolve our approach to data modeling, including well-reasoned opinions on mart/gold layer design—when to enforce structure and when to get out of the way.
• Strategic Decision Making: Make strategic build vs. buy decisions on tooling and vendor relationships, framing those decisions in terms of business and operational outcomes—not just technical elegance.
• AI-Native Design: Design and evolve a data platform built for an AI-native organization. This includes pipelines that serve LLM applications, infrastructure that supports agentic workflows, and tooling that compresses what used to take weeks into hours.
• AI Leadership: Use AI actively in your own workflow and bring strong opinions about where AI changes what a data platform needs to do. Stay ahead of how AI is reshaping the role of data teams and translate that into concrete platform and staffing decisions.
• Business Alignment: Frame every platform decision in terms of business outcomes—operational efficiency, financial impact, clinical results. The data platform is a strategic enabler, not an isolated technical domain.
• Stakeholder Management: Partner with business stakeholders to translate data needs into platform capabilities without creating unnecessary friction or access barriers. Make progress and tradeoffs visible to leadership as a natural byproduct of how you work.
• Team Leadership: Lead and develop a small high-impact team, setting a high bar for craft, communication, and ownership. Think deliberately about team composition, invest in the growth of your team members, and develop people who can grow with the platform.

Success Milestones

• First 90 Days: Develop a clear point of view on the platform's current state. Identify the highest-leverage opportunities. Ship a first step-function improvement or solve a fundamental limitation.
• 6 Months: Team transformation completed. New smaller team operates in a new operating model with substantially higher impact.
• Long Term: Data platform is recognized as a strategic business asset. Team is growing their skills, increasing capacity and insights, and operating with autonomy.

Benefits

• Paid parental leave and a life insurance policy
• Commuter benefit program
• 2 paid volunteer days for an organization of your choice
• 401(k) contributions
• Home office reimbursement for full-time employees
• 18 paid vacation days, 9 paid sick days, 10 company holidays, and a floating holiday
• Medical, dental, and vision plans; healthcare and dependent care FSA as well as a health and wellness benefit