Director, Enterprise AI Enablement & Execution

General Summary

The Director, Enterprise AI Enablement & Execution leads the internal AI transformation effort at GHX—helping the organization reimagine, redesign, and rebuild how work gets done through AI. This role is the primary partner to functional leaders and department heads across the enterprise, working with them to identify where AI can fundamentally change how their teams operate, and then driving that change through to execution and measurable impact.

Reporting to the SVP of AI Transformation, this role owns the end-to-end lifecycle of internal AI initiatives: from understanding what a team needs and translating that into an AI-enabled solution, through delivery, workforce enablement, and ongoing value measurement. The successful candidate brings together strong program leadership, practical AI fluency, and the change management capability to move an organization forward. They will have a strong bias toward leveraging existing enterprise platforms to deliver near-term, measurable value—rather than over-engineering custom solutions—and will know when to engage engineering resources versus when an off-the-shelf capability is the right answer.

Key Responsibilities

AI-Driven Workflow Redesign & Business Transformation

•    Partner with functional leaders and department heads across the organization to identify where AI can redesign, automate, or fundamentally reimagine how work gets done.

•    Lead structured discovery engagements with business teams—mapping current-state workflows, identifying AI opportunity areas, and building the case for change.

•    Translate AI capabilities into practical redesign options that teams can evaluate, prioritize, and act on—serving as the bridge between what AI can do and what the business needs.

•    Drive the rebuild of AI-enabled workflows end to end, from initial design through implementation, testing, and adoption.

•    Help functional leaders and their teams understand how to engage with the AI program: what to bring forward, how decisions get made, and what to expect from the partnership.

•    Stay current on emerging AI capabilities—agentic systems, automation tools, AI-assisted decision-making—and proactively surface high-value applications to the right stakeholders.

AI Initiative Execution & Delivery

•    Own the enterprise AI initiative portfolio, managing intake, prioritization, sequencing, and cross-functional execution across business units and Technology teams.

•    Maintain the AI use case pipeline; qualify opportunities and route them appropriately between centralized enablement and business-unit-led efforts.

•    Develop business cases and ROI models for AI investments, connecting AI capabilities to measurable business outcomes.

•    Track initiative progress, outcomes, and value realization; deliver consolidated portfolio reporting to the AI Steering Committee and senior leadership.

•    Apply a platform-first approach to solution design—maximizing value from existing enterprise AI tools (such as Salesforce Agentforce, Claude Enterprise, or equivalent) before engaging engineering resources for custom development; prioritize solutions that deliver measurable results quickly over longer-cycle builds.

•    Continuously improve delivery processes, tools, and resources based on outcomes and evolving capabilities.

Adoption & Workforce Enablement

•    Design and execute the enterprise AI adoption strategy, ensuring teams have the tools, training, and confidence to use AI effectively in their day-to-day work.

•    Build and activate a network of AI Champions across business units to drive grassroots adoption and surface high-value opportunities from within teams.

•    Partner with HR and Learning & Development to develop AI flue…