Newfire Global Partners

Senior AI Technical Program Manager

Newfire Global Partners

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

✨ AI Apply
Apply

Salary

💰 $180,000 - $230,000 per year

Job Level

Senior

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI program managementML engineeringdata sciencemodel trainingA/B testingdata acquisitionprogram management fundamentalsAI/ML development lifecycledeployment pipelinesmonitoring
Soft Skills
cross-functional alignmentrisk managementcommunicationstakeholder reportingstrategic thought partnershipaccountabilitynarrative distillationcomplex problem solvingleadershipcollaboration