Director, Enterprise AI Strategy & Transformation

We are seeking a visionary, results-oriented Director of Enterprise AI Strategy & Transformation to define and execute our enterprise-wide Artificial Intelligence roadmap.

In this executive role, you will bridge the gap between business strategy, technological capability, and operational execution. You will partner directly with C-suite stakeholders, business unit heads, and engineering teams to identify high-impact AI opportunities, modernize operating models, institute responsible AI governance, and accelerate value realization across the enterprise.

Key Responsibilities

Strategic Vision & AI Roadmapping

Define the overarching Enterprise AI Vision, aligning investments in Generative AI, predictive analytics, and machine learning with core business outcomes.
Identify, evaluate, and prioritize AI use cases across commercial, operational, and customer-facing domains based on ROI, technical feasibility, and strategic leverage.
Establish metrics and KPIs to measure AI adoption, operational efficiencies, and bottom-line business value.

Operating Model & Change Enablement

Architect an agile AI operating model (e.g., Hub-and-Spoke / AI Center of Excellence) to scale capabilities across disparate business units.
Spearhead organization-wide change management, leading AI literacy and upskilling programs to build a data- and AI-fluent culture.
Partner with Product, IT, and Data Engineering teams to ensure alignment on infrastructure, modern data stacks, and model lifecycle management (MLOps).

Governance, Risk & Responsible AI

Establish enterprise Responsible AI (RAI) frameworks addressing data privacy, bias mitigation, model explainability, security, and regulatory compliance.
Lead the cross-functional AI Governance Council to evaluate third-party AI vendors, foundation models, and custom deployment risks.

Required Qualifications

Experience: 12+ years of progressive leadership experience in enterprise strategy, management consulting, or digital transformation, with at least 5+ years dedicated to AI/ML strategy and deployment.
Track Record: Demonstrated success leading large-scale AI transformation programs from ideation through production deployment with measurable P&L or efficiency impact.
Executive Presence: Exceptional communication skills with the ability to translate complex AI/technical concepts into actionable business strategies for executive stakeholders and board members.
Technical Acumen: Strong functional understanding of the modern AI landscape, including LLMs, generative architectures, agentic workflows, MLOps, and cloud ecosystems (AWS, Azure, or GCP).
Education: Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or a related field (Master’s or MBA preferred).

Preferred Qualifications

Experience orchestrating enterprise AI transformation within heavily regulated industries (e.g., Financial Services, Healthcare/Life Sciences, or Manufacturing).
Active engagement with global AI governance standards, frameworks (e.g., NIST AI RMF, ISO 42001), and emerging regulatory policies.