Senior AI Technical Program Manager

Role Overview

• Own end-to-end program management for Care Lumen's AI initiatives spanning AI feature integration into existing products and the development of standalone AI-powered solutions from discovery and planning through deployment and post-launch iteration
• Drive cross-functional alignment across product management, ML engineering, data science, software engineering, clinical operations, legal/compliance, business partners, and customer success teams, ensuring everyone is working toward the same outcomes with clear accountability
• Develop and maintain AI program plans that account for the unique delivery dynamics of AI development including data acquisition and readiness, model training and evaluation cycles, A/B testing, and staged rollout strategies
• Identify and actively manage risks specific to AI programs: data quality issues, model performance gaps, regulatory and compliance considerations (including HIPAA, AI governance, and clinical validation requirements), and integration complexity
• Establish and maintain AI program governance: decision logs, project plans, risk registers, change management documentation, and stakeholder reporting that keeps leadership informed and compliant
• Partner with product and ML/data engineering teams to assess data infrastructure readiness for AI workloads surfacing gaps early and driving resolution before they become delivery blockers
• Coordinate responsible AI practices across programs, ensuring that bias evaluation, explainability, and clinical/ethical review are built into delivery processes not bolted on at the end
• Build out AI program management frameworks, playbooks, and best practices that can scale as Care Lumen's AI portfolio grows
• Act as a strategic thought partner to product and engineering leadership on prioritization, sequencing, and resourcing of AI initiatives across the org

Requirements

• 5–10 years of experience in a Technical Program Manager or equivalent role, with at least 3 years directly managing AI, ML, or data science programs from initiation through production deployment
• Hands-on familiarity with the AI/ML development lifecycle including data preparation, model training and evaluation, experimentation frameworks, deployment pipelines, and monitoring sufficient to identify risks, ask the right questions, and keep teams unblocked
• Demonstrated ability to manage complex, multi-team programs where no single team owns the full outcome driving alignment and accountability across engineering, data science, product, and business stakeholders
• Experience navigating the unique delivery challenges of AI programs: non-deterministic timelines, model iteration cycles, data dependencies, and the gap between prototype performance and production readiness
• Strong command of program management fundamentals: dependency management, risk tracking, milestone planning, and executive-level status reporting
• Excellent communicator that can distill technical complexity into crisp, credible narratives for both product teams, engineering teams and senior leadership, and equally able to translate business strategy into technical scope
• Proficiency with program/project management tools (Jira, Notion, Confluence, Smartsheet or equivalent)
• Familiarity with responsible AI principles: bias and fairness evaluation, model explainability, audit trails, and the regulatory considerations that apply when AI is used in high-stakes decision-making environments
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field or equivalent practical experience
• Experience in healthcare technology, digital health, or managed care markets.
• Understanding of health plan, payer, or clinical operations buyer dynamics.
• Working knowledge of HIPAA and relevant AI governance frameworks
• Experience shipping AI features to production users at scale including rollout strategies such as shadow mode, staged deployment, and model monitoring in live environments
• Familiarity with modern AI/ML stacks: LLMs, RAG architectures, NLP pipelines, vector databases, or clinical NLP tooling
• Experience in a high-growth, Series A–C stage company where AI infrastructure and delivery processes are being built from the ground up

Benefits

• Remote-first environment with company provided computer
• Thirteen paid holidays per year (average)
• Medical, dental and vision coverage with multiple levels of coverage
• HSA, FSA and Dependent Care accounts
• Short-term and Long-term disability
• Life and accidental death insurance
• Discounted voluntary benefits, such as additional life insurance
• Employee Assistance Program
• Paid Parental Leave
• Flexible vacation time
• 401(k) with employer matching and immediate vesting