[Hiring] Senior Director, Applied Data Science and AI @Equip Health

Role Description

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.

• Build agentic workflows to scale operations
• Utilize Large Language Models (LLMs) to reduce administrative burden for clinicians
• Develop recommendation engines for personalization of care
• Forecast demand to optimize the workforce
• Develop predictive models for clinical decision support

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 "value realization" efforts, translating complex technical KPIs into business-driving narratives for stakeholders and clinical partners.
• Technical Mentorship: Provide deep-stack guidance on model behavior, failure-mode analysis, and iterative improvement based on production feedback and data drift.
• Perform other duties as assigned.

Qualifications

• Master’s degree or PhD in Computer Science, Math, Statistics, or a related field.
• 10+ years in AI/ML engineering with 4+ years in senior leadership overseeing multiple teams.
• Deep expertise in LLMs (RAG, grounding, retrieval), traditional ML (classification, regression, unsupervised learning) and statistics (causal inference, multilevel models).
• Experience building high-stakes AI systems within regulated frameworks (HIPAA, CMS) where reliability and safety are non-negotiable.
• Hands-on experience with modern tech stacks (Python, Node.Js, Typescript, LLMs, LangChain, n8n, vector databases, PyTorch/TensorFlow, AWS services) and a commitment to enforcing extensible, production-ready code.
• Ability to lead a room, align cross-functional teams, and clearly articulate the "why" behind AI investments to non-technical audiences.

Benefits

• Time Off: Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
• Medical Benefits: Competitive Medical, Dental, Vision, Life, and AD&D insurance. Equip pays for a significant percentage of benefits premiums for individuals and families.
• Maven, a company paid reproductive and family care benefit for all employees.
• Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
• Work From Home Additional Perks: $50/month stipend added directly to an employee’s paycheck to cover home internet expenses. One-time work from home stipend of up to $500.