Head of Data Platform & AI

Role overview

This is a senior leadership role within a modern behavioral health organization, charged with building out the technical foundation for data and AI capabilities across the company. The position blends strategy and execution: the leader will own the technical vision while staying close to architecture, prototypes, and difficult engineering problems. Scope spans the data platform, machine learning, generative AI, LLM-based systems, and Data Science, with direct accountability for company-level KPIs in these areas.

Responsibilities

- Define and own the technical strategy and roadmap for the data platform and AI/ML capabilities, including traditional ML, predictive modeling, generative AI, and LLM-based systems - Establish clear principles for build-versus-buy decisions, including when to develop internally, leverage third-party platforms or models, or partner externally - Partner closely with Product and cross-functional leaders to identify where AI/ML/Data Science can create meaningful customer and business value, and own the technical strategy to deliver it - Set, monitor, and report on AI/ML and Data Platform KPIs to the executive team, holding accountability for outcomes - Build, lead, and develop a high-performing Data Platform team, including hiring, setting expectations, conducting performance reviews, and identifying skill gaps and succession candidates - Contribute directly as a player-coach to architecture, technical evaluations, prototypes, and complex engineering challenges

Requirements

- 8+ years of experience building and leading data platform, data engineering, Data Science, ML, or AI capabilities in high-growth technology environments - Demonstrated experience architecting modern data platforms and production data systems - Track record of taking ML or AI solutions from experimentation into production to solve real product or business problems - Prior background as a strong individual contributor before moving into leadership, with hands-on technical depth - Experience partnering closely with Product teams to scope and deliver technically sophisticated capabilities - Strong judgment on build-versus-buy and the ability to assess rapidly evolving AI technologies pragmatically

Nice to have

- Experience diagnosing organizational capability gaps and recruiting senior, specialized technical talent - Comfort operating in a small, fast-moving organization where senior leaders remain close to execution

Benefits and work setup

- Medical coverage with multiple plan options (HDHP and two PPO plans), plus dental and vision - Access to a company-sponsored modern primary care membership - 401(k) with traditional and Roth contribution options - Generous paid time off, up to 15 paid company holidays per year, and accrued sick time - Company-paid life, AD&D, and disability insurance, with optional supplemental coverage - Paid parental bonding leave for eligible full-time employees, with tenure-based increases - Professional development reimbursement for role-related growth opportunities