Senior Director, AI Enablement & Adoption

About the role

Mosai™ is the intelligent care coordination platform that brings together the fragmented pieces of healthcare into a clear, connected picture. Like a mosaic, our platform unites data, people, and processes so providers can make better decisions, coordinate care in real time, and deliver improved outcomes. With Mosai, home-based care organizations can thrive in value-based care while giving every patient the right care, in the right place, at the right time. Learn more at https://www.mosai.com/

This role exists to get AI into productive, safe, everyday use across the company. Success is measured in real usage doing real work, not in pilots launched.

Responsibilities

• Own the enterprise AI adoption plan: which functions adopt what, in what order, with a named sponsor in each and outcomes stated in cycle time, cost, or quality.
• Run enablement end to end; role-based training, workflow playbooks, office hours, and a champions network, so capability spreads without routing through you.
• Find and land high-leverage internal automation across support, revenue cycle, clinical operations, finance, and go-to-market. Prove it with the function that owns the work, then hand off a supported workflow.
• Curate the approved AI toolset for employees. Recommend additions and retirements, and make the case with usage evidence and ROI analysis.
• Measure adoption and report it monthly to function leaders, quarterly to the executive team.
• Provide direct leadership and supervision to a team.
• Own the employee AI acceptable-use policy: what data goes in which tools, what needs review, what is prohibited. Short enough that people follow it.
• Create and maintain approval path and register for employee-facing AI tools, run with Security, Legal, and Compliance.
• Manage data-handling rules for internal AI use, including PHI, retention, and whether our data trains a vendor model developed in collaboration with Security and Legal.
• Lead training, attestation, and misuse escalations. Internal AI risk feeds the enterprise risk process owned by Security and Compliance.
• Maintain partnerships with functional-area leaders on use case selection and the time their teams need to adopt.
• Partner with IT and Security on identity, access, licensing, and monitoring.
• Closely partner with Legal and Procurement on vendor terms, BAAs, and data-use commitments.
• Work closely with Product and Engineering teams building customer-facing AI, who get enablement assets and expertise from this role. They own that governance; this role does not.

Requirements

• 6+ years in technology, data, product, or operations, including 2+ years leading a program that changed how a large group of people work.
• Hands-on fluency with current AI tooling: assistants, agents, retrieval, prompt and context engineering, and the limits of each. This person builds the workflow, not just the deck about it.
• A track record of adoption measured in usage and outcomes, driven across teams that do not report to you.
• Working knowledge of AI risk and data handling in a regulated environment, including HIPAA and SOC 2 in practice.
• Can teach. Can make a skeptical, non-technical audience competent with tools they did not ask for.

Skills

• AI or automation adoption inside healthcare or another regulated environment.
• Familiarity with clinical or revenue-cycle workflows.
• Experience building training programs or a community of practice at scale.