Develop and Implement Comprehensive Data and AI Strategy Build upon and execute the US data and AI strategy that aligns with organizational goals and drives data maturity across all business areas Identify key areas of business value, set clear objectives, and establish a roadmap for initiatives Partner with product, architecture, and functional leadership to integrate data and AI into product roadmaps and operational processes Manage the data and AI budget, with ongoing focus on personnel, vendor, and capital expenditures Drive Innovation and AI Adoption: lead efforts to innovate and adopt AI technologies in partnership with the enterprise team. Stay updated with the latest AI trends and ensure the organization leverages AI to improve operations, enhance customer experiences, and gain a competitive edge Foster a data-driven culture Increase data literacy across the organization, ensuring employees understand the value of data and AI, and promoting the use of data in decision-making processes. Partner closely with the enterprise data organization to embed data capabilities into business operations Champion cultural change toward rapid deployment and continuous improvement in data and AI capabilities Ensure Data Governance and Compliance: establish and maintain strong data governance practices to ensure data quality, security, and compliance with relevant regulations. Implement data management frameworks and oversee governance initiatives Build and manage a strong Data team Oversee relationships with consultants, vendors, and contractors, supporting negotiation of statements of work and business terms with suppliers About You The ideal candidate will be an experienced data and AI leader with broad and deep demonstrated subject matter expertise across data strategy, governance, analytics, and AI adoption. They will serve as a recognized thought leader and expert in all things data and AI. Technical and Functional Excellence: Deep expertise in data strategy, governance, analytics, AI/ ML, and related technologies (e.g., cloud platforms, data warehouses, data lakes, BI tools, ML - Ops) Thought Leadership: Brings a mindset that embraces innovation and questions conventional wisdom. Expert in emerging trends in data and AI, and able to translate them into actionable strategies Team Leadership: Proven ability to recruit, lead, mentor, and develop high-performing data and AI teams. Strong talent management skills including coaching, mentoring, and team motivation Collaboration and Influence: Excels at partnering across multiple functions to facilitate prioritization into actionable plans Best Practices: Demonstrated experience in establishing and maintaining data governance, quality, and compliance frameworks Customer Centricity: Focused on building a culture that understands and responds to customer needs through data-driven insights Communication: Ability to communicate complex data and AI concepts clearly to diverse audiences, from executives to technical teams Innovation: Experience using AI and automation to increase operational efficiency and create competitive advantage Financial Acumen: Skilled in managing budgets, resource plans, and investment initiatives for data and AI functions Qualifications Strong track record in data strategy, governance, analytics, and AI leadership, with significant experience in senior management roles Strong leadership and people management skills, with demonstrated ability to build and lead large, high-performing teams, and foster a data-driven culture Excellent communication skills, able to develop, document, and explain data and AI strategies to diverse audiences Proven track record of delivering measurable business outcomes through data and AI initiatives Bachelor’s degree in Data Science or related discipline required; advanced degree or MBA preferred