About the role

We are looking for a Senior Deployment Strategist with 5-10 years of experience to own large-scale AI platform deployments for health system clients. You'll lead end-to-end delivery for some of the largest provider organizations in the country, managing cross-functional pods and building direct relationships with C-suite executives to drive measurable margin improvements.

What will you be doing?

Owning the full implementation lifecycle for large strategic health system accounts — from scoping and discovery through go-live and value realization
Leading a pod of 2-3 junior Deployment Strategists and forward-deployed engineers, setting priorities and maintaining delivery momentum
Managing C-suite relationships (primarily CFOs) at multi-billion dollar health systems, facilitating executive business reviews and steering committees
Driving novel, consultative problem-solving — discovery, solutioning, and operational change management for customers who are deploying AI for the first time
Codifying deployment patterns into repeatable playbooks and feeding implementation learnings back into the product roadmap

Key Requirements

5-10 years of experience with meaningful time in healthcare consulting or AI/tech delivery to health systems (provider side specifically)
Proven executive presence and experience independently managing C-suite/VP-level client relationships — this is a hard requirement
Hands-on experience managing technical implementations (not purely strategy advisory), ideally involving AI or software delivery
Deep passion for healthcare provider organizations with a clear career pattern demonstrating commitment to the space
People management experience with ability to lead cross-functional delivery teams in ambiguous, fast-moving environments

You will sit at the intersection of customer healthcare finance problems and the AI that solves them. Analytics Engineers get the data in accurately and encode customer business logic. This role builds on top of that: the context layer agents operate on, tailored agents and predictive models for each customer, and the iteration that turns outputs into decisions and behavioral change. You will work in Python with the company's agent harnesses and eval tooling, partnered with the value team and directly with customers.

You'll feel at home here if you were called a data scientist three to five years ago and have been shipping applied AI since.

What You'll Do:

Build tailored agents. Stand up customer-specific agents and ML models on existing agent infrastructure.
Own the context layer. Maintain the customer context agents operate on, including platform-level agents.
Validate outputs. Use harnesses and evals to keep agents and models accurate enough to earn trust.
Drive decisions. Iterate on insights and presentation with the value team until customers act on them.
Work with customers. Scope problems with end users and present solutions to finance and ops leaders.

Senior Deployment Strategist

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