Senior Director, Applied Data Science and AI

Senior Director, Applied Data Science and AI About Equip Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes https://equip.health/outcomes and treatment approach at www.equip.health. http://www.equip.health Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture.  Recognized by Time https://time.com/collection/time100-companies-2023/6285207/equip/ as one of the most influential companies of 2023, along with awards from Linkedin https://www.linkedin.com/pulse/linkedin-top-startups-2022-50-us-companies-rise-linkedin-news/ and Lattice https://lattice.com/blog/announcing-the-2023-finalists-for-lattices-people-success-awards, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families. About the role As the Senior Director of Applied Data Science & AI, you will sit at the intersection of clinical excellence and cutting-edge technology. In this pivotal leadership role, you will spearhead our efforts to revolutionize how eating disorders are treated in a virtual environment. You will lead two high-impact verticals –Applied Data Science and AI Transformation– to build intelligent data products that directly improve patient outcomes and optimize our internal operations. As a technical leader, you will be comfortable with delegating, mentoring, and diving into code. Whether it’s building agentic workflows to scale operations, utilizing Large Language Models (LLMs) to reduce administrative burden for clinicians, developing recommendation engines for personalization of care, forecasting demand to optimize the workforce, or developing predictive models for clinical decision support, your work will be the engine behind our mission to provide world-class eating disorder care virtually at scale. Responsibilities - Strategic Vision: Partner with the SVP of Data, Insights, & AI and other cross-functional leaders to define the roadmap for AI and ML. Collaborate as a peer with other data, product, and engineering leaders to ensure a cohesive data & technology strategy. - Engineering Leadership: Lead a world-class AI/ML organization, including data scientists, AI/ML engineers, and MLOps. Own the end-to-end delivery of AI products using modern practices. - GenAI Strategy and Best Practices: Define methods and best practices for GenAI implementation, including RAG architectures, prompt optimization, and hallucination mitigation, specifically tailored for clinical accuracy. - Clinical Decision Support: Architect AI powered workflows, statistical and machine learning models, and decision trees that assist our clinical team in providing evidence-based, personalized treatment for patients. - AI Transformation: Drive organizational productivity by identifying and executing high-ROI AI automation opportunities across all departments. Build the foundations that enable the successful implementation of AI including knowledge graphs, RAG, prompt and skills library, MCP servers, and agents. - Governance & Safety: Partner with compliance team to implement HIPAA/CMS-aligned governance, automated guardrails, and model observability. - Change Management: Ensure successful adoption and ROI through effective communication, achieving department and enterprise support, and thoughtful change management. - Executive Influence: Lead "v ... (truncated, view full listing at source)