Senior Director, AI Enablement, Adoption

Mosai

. Own the enterprise AI adoption plan, including sequencing functions, assigning sponsors, and defining outcomes .

Posted 9/20/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI adoption and automation strategies, with a strong focus on training, compliance, and risk management in regulated environments. Proven ability to lead cross-functional teams and drive measurable outcomes in technology and operations.

Highest-signal resume keywords

AI Tooling FluencyProgram LeadershipAI Risk ManagementTraining Program DevelopmentData Handling Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AdoptionAutomation ImplementationPrompt EngineeringContext EngineeringData HandlingWorkflow PlaybooksROI AnalysisUsage MeasurementRegulatory ComplianceChange Management

Soft Skills

LeadershipCommunicationTeachingCollaborationInfluencing

Tools & Technologies

AI AssistantsAI AgentsEmployee AI ToolsetMonitoring ToolsData-Use Commitments

Industry Keywords

HIPAASOC 2HealthcareRevenue CycleClinical Workflows

About the role

Key responsibilities & impact

Own the enterprise AI adoption plan, including sequencing functions, assigning sponsors, and defining outcomes
Run end-to-end enablement through role-based training, workflow playbooks, office hours, and a champions network
Identify and implement high-leverage internal automation across support, revenue cycle, clinical operations, finance, and go-to-market
Prove automation value with the owning function and hand off supported workflows
Curate the approved employee AI toolset and recommend additions or retirements using usage evidence and ROI analysis
Measure adoption and report monthly to function leaders and quarterly to the executive team
Provide direct leadership and supervision to a team
Own the employee AI acceptable-use policy
Create and maintain approval paths and a register for employee-facing AI tools with Security, Legal, and Compliance
Manage internal AI data-handling rules, including PHI, retention, and vendor model training practices
Lead training, attestation, and misuse escalations
Feed internal AI risk into the enterprise risk process owned by Security and Compliance
Maintain partnerships with functional-area leaders on use-case selection and adoption time
Partner with IT and Security on identity, access, licensing, and monitoring
Partner with Legal and Procurement on vendor terms, BAAs, and data-use commitments
Partner with Product and Engineering teams building customer-facing AI by providing enablement assets and expertise

Requirements

What you’ll need

6+ years in technology, data, product, or operations
2+ years leading a program that changed how a large group of people work
Hands-on fluency with current AI tooling, including assistants, agents, retrieval, prompt engineering, and context engineering
Understanding of the limits of AI tooling
Track record of driving adoption across teams that do not report to you, measured in usage and outcomes
Working knowledge of AI risk and data handling in regulated environments, including HIPAA and SOC 2 in practice
Ability to teach skeptical, non-technical audiences to use unfamiliar tools
Preferred: AI or automation adoption in healthcare or another regulated environment
Preferred: Familiarity with clinical or revenue-cycle workflows
Preferred: Experience building training programs or a community of practice at scale
Must be eligible to work in the United States

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for individuals with disabilities
Eligibility to work in the United States verified through E-verify