Sr. Director, Technology Product Management - Data & AI

About the role

We are seeking a Sr. Director, Technology Product Management - Data & AI to lead the technical product strategy, roadmap, and delivery of enterprise Data, Analytics, AI, and Generative AI platform capabilities. Reporting to the Head of Engineering/Technology, Data & AI, this leader will partner across technology, business, and product teams to deliver secure, scalable, reusable, and governed platforms that accelerate adoption and business value across the company. The ideal candidate is a strategic, technically credible product leader who can bridge vertical product needs with platform engineering execution. They bring a strong platform mindset, deep experience in data and AI platforms, excellent executive communication skills, and the ability to balance innovation, speed, security, governance, and measurable business outcomes. Essential Functions Define and lead the strategy and roadmap for enterprise Data, Analytics, AI, and Generative AI platforms. Drive platforms from strategy through adoption, establishing clear outcomes, success metrics, adoption targets, and value realization measures. Lead the evolution of the enterprise Data & AI platforms, enabling secure, scalable, reusable, and governed capabilities across the enterprise. Balance innovation speed with enterprise-grade controls and operational discipline. Prioritize investments across foundational platforms, business/product use cases, technical debt, governance needs, and emerging technology opportunities. Evaluate tradeoffs and align stakeholders around roadmap decisions Translate business and product priorities into platform capabilities that enable analytics, automation, AI-driven decisioning, and intelligent digital experiences. Partner with engineering, data science, architecture, cybersecurity, privacy, legal, compliance, and business leaders to deliver secure and scalable platform capabilities Lead, coach, and develop technical product managers and partner closely with cross-functional product and engineering teams. Promote an operating model focused on customer outcomes, platform reuse, adoption, and continuous improvement.