Mosai
Mosai
1 – 10 Employees
Mosai is a company founded in 2021. The available profile does not provide enough verified information about its sector, products, team, or hiring focus to describe the business in greater detail.

Senior Director of AI Enablement and Adoption - Hybrid

Lead enterprise AI adoption at Mosai, a healthcare care coordination platform, by building training, governance, automation, and measurable cross-functional usage. Shape safe, effective AI practices across business and customer-facing teams.

Description

  • Lead the enterprise AI adoption strategy by sequencing functions, assigning sponsors, and defining measurable outcomes.
  • Deliver role-based enablement through training, workflow playbooks, office hours, and an AI champions network.
  • Identify and implement high-impact internal automation across support, revenue cycle, clinical operations, finance, and go-to-market functions.
  • Validate automation value with functional owners and transition supported workflows for ongoing operation.
  • Manage the approved employee AI toolset, using usage data and ROI analysis to guide additions and retirements.
  • Track adoption and provide monthly updates to functional leaders and quarterly reports to the executive team.
  • Lead and supervise a team.
  • Own the employee AI acceptable-use policy.
  • Establish approval processes and maintain a register of employee-facing AI tools with Security, Legal, and Compliance.
  • Oversee internal AI data-handling requirements, including PHI, retention, and vendor model-training practices.
  • Lead AI training, attestations, and misuse escalations.
  • Integrate internal AI risks into the enterprise risk process managed by Security and Compliance.
  • Build partnerships with functional leaders to select use cases and improve adoption time.
  • Work with IT and Security on identity, access, licensing, and monitoring.
  • Coordinate with Legal and Procurement on vendor terms, BAAs, and data-use commitments.
  • Support Product and Engineering teams developing customer-facing AI with enablement materials and subject-matter expertise.

Requirements

  • At least six years of experience in technology, data, product, or operations.
  • At least two years leading a program that changed how a large group of people work.
  • Hands-on fluency with current AI tools, including assistants, agents, retrieval, prompt engineering, and context engineering.
  • A clear understanding of the limitations of AI tools.
  • Demonstrated success driving adoption across teams outside your reporting line, measured through usage and outcomes.
  • Working knowledge of AI risk and data handling in regulated settings, including practical experience with HIPAA and SOC 2.
  • Ability to teach skeptical, non-technical audiences how to use unfamiliar tools.
  • Preferred: Experience leading AI or automation adoption in healthcare or another regulated industry.
  • Preferred: Familiarity with clinical or revenue-cycle workflows.
  • Preferred: Experience building training programs or a large-scale community of practice.
  • Must be eligible to work in the United States.

Benefits

  • Equal opportunity employer.
  • Reasonable accommodations are available for individuals with disabilities.
  • Eligibility to work in the United States is verified through E-Verify.

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