Senior AI Technical Program Manager (US - Remote)

Newfire Global Partners•Boston, MA

6d•Remote

About The Position

The Technical Program Manager, AI is a purpose-built role for Care Lumen's next phase of growth one where artificial intelligence is not a feature, it's a strategic capability woven into how we build, operate, and deliver. A senior individual contributor reporting to the Senior Director of Business Operations, this role is responsible for driving the end-to-end execution of AI initiatives across the organization: from embedding AI capabilities into our existing platform to bringing net-new AI-powered products to life. This role sits at the intersection of machine learning, product, engineering, and business operations. You will be the person who makes AI initiatives actually ship translating ambitious ideas into grounded execution plans, aligning cross-functional teams around a shared plan, and managing the unique complexity that comes with building and deploying AI systems in a regulated, high-stakes healthcare environment. On the integration side, you'll drive programs that embed AI features — intelligent automation, predictive insights, NLP, clinical decision support, and more — into Care Lumen's existing platform. These programs require deep collaboration with product managers, ML engineers, data scientists, and clinical subject matter experts to ensure AI capabilities are technically sound, clinically appropriate, and operationally ready. On the product side, you'll support the development of standalone AI-driven products when the opportunity arises — owning program structure from discovery through launch, and ensuring that cross-functional dependencies (data, infrastructure, compliance, go-to-market) are managed with rigor. This is a rare opportunity for someone who understands how AI is actually built, has the program management discipline to drive complex work to delivery, and has the credibility to lead without authority across a high-performing technical organization. If you've lived the challenges of AI program delivery — the model iteration cycles, the data readiness blockers, the responsible AI considerations — and you want to do it at a company where the mission genuinely matters, we want to talk to you.

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

Nice To Haves

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

Responsibilities

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