Executive Director, Data & AI Governance, Architecture and Products

What you'll do

• Define and execute the enterprise strategy for data and AI governance, architecture, and products.
• Establish an integrated operating model connecting business priorities, governance decisions, and architectural standards.
• Develop an enterprise-wide governance framework for data, analytics, and generative AI.
• Define and maintain the target-state architecture for enterprise data, machine learning, and AI platforms.
• Establish product management practices and develop a portfolio of reusable data and AI products.
• Recruit, develop, and lead a multidisciplinary organization of architects, data stewards, and product managers.
• Manage the organization’s budget, workforce plan, vendor relationships, and strategic partnerships.

What we're looking for

• 12– progressive leadership experience in data, analytics, AI, technology, or digital product management.
• 10+ years of relevant work experience.
• Bachelor’s degree in business, technology, computer science, engineering, data science, or a related field, or equivalent professional experience.
• Master's degree (preferred).
• Significant experience leading multiple functions at enterprise scale, including governance, architecture, product management, data platforms, or AI.
• Demonstrated success translating enterprise strategy into operating models, investment portfolios, roadmaps, and measurable business outcomes.
• Strong understanding of modern data and AI architectures, cloud ecosystems, machine learning, generative AI, and operationalization practices.
• Experience establishing data governance, responsible-AI, privacy, security, and risk-management capabilities in complex environments.
• Proven ability to develop and manage data, platform, analytics, or AI capabilities as products with defined users and roadmaps.
• Experience influencing senior executives and aligning stakeholders across business, technology, legal, security, risk, and compliance functions.
• Demonstrated success building, developing, and retaining diverse, high-performing teams.
• Strong financial and portfolio-management capabilities, including investment prioritization, workforce planning, and vendor management.
• Experience working in a highly regulated, global, or operationally complex organization (preferred).
• Experience implementing federated data governance, domain-oriented data ownership, or enterprise AI governance (preferred).
• Experience leading enterprise transformation and organizational change across business and technology functions (preferred).
• Relevant credentials in enterprise architecture, data management, product management, cloud technology, risk, privacy, or AI governance (preferred).