Director, AI Enablement

 

 

 

Requisition ID: 267894

 Salary Range:  -  

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

 

Purpose

 

The Director, AI Enablement is responsible for defining and leading the enterprise AI enablement strategy that drives adoption, value realization, and operational integration of Artificial Intelligence capabilities across the organization.

This role serves as the strategic bridge between business leadership, technology organizations, data & AI teams, and end users to ensure AI investments translate into measurable business outcomes. The Director will establish the enablement operating model, adoption framework, governance processes, and organizational change strategies required to scale Generative AI, AI copilots, analytics, and intelligent automation capabilities enterprise-wide.
The position requires strong leadership across business transformation, AI strategy, technology enablement, organizational change management, and stakeholder engagement.

 

What You'll Do

 

Enterprise AI Enablement Strategy
•    Define and execute the enterprise AI enablement vision, strategy, and multi-year roadmap aligned with business priorities.
•    Develop scalable frameworks that accelerate AI adoption while ensuring governance, compliance, risk management, and responsible AI practices.
•    Establish enterprise standards for AI adoption, enablement, value realization, and capability maturity.
•    Partner with executive leadership to identify strategic opportunities where AI can improve productivity, decision making, and operational efficiency.
•    Drive alignment across Data & AI, Architecture, Security, Risk, Operations, HR, and business functions.

AI Adoption & Transformation Leadership
•    Lead enterprise-wide AI adoption initiatives across business units and functional organizations.
•    Develop and execute change management strategies that accelerate acceptance and sustained use of AI capabilities.
•    Establish an enterprise AI Champions and Community of Practice program to create grassroots adoption and knowledge sharing.
•    Drive organizational readiness planning for new AI capabilities and platform rollouts.
•    Ensure enablement programs address varying maturity levels across technical and non-technical audiences.

Platform Enablement & Capability Management
•    Oversee enablement strategies for enterprise AI platforms including: 
         o    Microsoft Copilot
         o    Azure AI Services
         o    Azure OpenAI
         o    Databricks AI/ML capabilities
         o    Google AI platforms
         o    Emerging Generative AI solutions
•    Evaluate emerging AI technologies and assess business applicability, readiness, and adoption approaches.
•    Establish governance for AI use-case intake, prioritization, onboarding, and lifecycle management.
•    Collaborate with platform owners to ensure successful launch, adoption, and optimization of AI capabilities.

Business Value Realization
•    Define enterprise AI success measures, KPIs, and value realization frameworks.
•    Develop methodologies for measuring productivity gains, process efficiencies, cost savings, and business outcomes.
•    Build executive dashboards and performance reporting that communicate AI impact to leadership.
•    Identify adoption barriers and implement corrective actions to improve utilization and business value.
•    Create repeatable approaches for documenting and scaling successful AI use cases.

AI Governance & Responsible AI
•    Partner with Security, Legal, Compliance, Risk, and Governance teams to establish responsible AI adoption frameworks.
•    Ensure AI enablement programs align with enterprise governance standards and regulatory requirements.
•    Advocate for ethical and responsible AI practices across the organization.
•    Support AI risk assessments, controls, and operational governance processes.
•    Provide leadership guidance on emerging AI risks and opportunities.

Executive Stakeholder Engagement
•    Serve as a trusted advisor to executives and senior leaders regarding AI adoption and enablemen