Senior Director, AI Enablement, Adoption

Mosai

. Own the enterprise AI adoption plan, including sequencing functions, naming sponsors, and defining outcomes measured by cycle time, cost, or quality .

Posted 9/20/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI adoption and automation within regulated environments, with a strong focus on training, workflow optimization, and compliance. Proven ability to lead cross-functional teams and manage AI data-handling rules while ensuring effective communication with non-technical audiences.

Highest-signal resume keywords

AI Tooling FluencyProgram LeadershipAI Risk ManagementTraining Program DevelopmentRegulated Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AdoptionAutomation ImplementationData HandlingWorkflow OptimizationROI AnalysisPrompt EngineeringContext EngineeringUsage MeasurementCompliance KnowledgeTraining Development

Soft Skills

LeadershipCommunicationTeachingCollaborationProblem-Solving

Tools & Technologies

AI AssistantsAI AgentsData Monitoring ToolsWorkflow PlaybooksEmployee AI Toolset

Industry Keywords

HIPAASOC 2HealthcareRevenue CycleClinical Workflows

About the role

Key responsibilities & impact

Own the enterprise AI adoption plan, including sequencing functions, naming sponsors, and defining outcomes measured by cycle time, cost, or quality
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 function owners 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 provisions
Lead training, attestation, and misuse escalations; feed internal AI risk into the enterprise risk process
Partner with functional 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
Support Product and Engineering teams building customer-facing AI with 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 and context engineering, and the limits of each
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
Ability to teach skeptical, non-technical audiences to use unfamiliar tools
Preferred: AI or automation adoption inside 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
Ability to work in a hybrid role based in Jacksonville or Nashville
Eligibility to work in the United States, verified through E-Verify if selected

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for individuals with disabilities
E-Verify employment eligibility verification