Vice President, Data Analytics & AI

Vice President, Data, Analytics and AI
- Hybrid | Cary, North Carolina We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence and questions into answers. If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

About the job The Data, Analytics and AI organization is looking for a Vice President, Data, Analytics and AI to turn enterprise data into trusted intelligence, scalable AI and measurable business value. This executive will define the function’s charter and structure, establish a modern enterprise strategy and lead a global team across data, analytics, AI platforms, governance, architecture, engineering and adoption.

This is a high-impact opportunity for a business-minded technology leader who can bring clarity to a complex data landscape, align senior leaders around shared priorities and standards, and move the company from fragmented data and isolated use cases toward trusted, reusable enterprise capabilities. As a Vice President, Data, Analytics and AI, you will:
Define and execute the enterprise data, analytics and AI strategy and multi-year roadmap, aligned with corporate priorities and measurable business outcomes. Build the Data, Analytics and AI organization, including its charter, operating model, organizational structure, leadership team, capabilities and ways of working. Maximize the value of enterprise data, analytics and AI platforms by improving trust, usability, adoption, scalability and value realization.

Establish transparent governance and investment processes that clarify ownership, priorities, standards, decision rights and accountability. Partner with the C-suite, technology leaders and business executives to identify high-value opportunities and translate strategy into scalable enterprise capabilities. Build, develop and lead high-performing global teams across engineering, architecture, governance, data science, analytics and operations. Communicate strategy, tradeoffs, risks, dependencies and outcomes clearly at every level of the organization.

Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Required qualifications Bachelor’s or Master’s degree in computer science, data science, business analytics or related field. Minimum 10 years of progressive leadership experience in data and analytics, including ownership and delivery of enterprise data strategy. Demonstrated success leading enterprise-scale data, analytics or AI transformation, including strategy development and operating-model evolution.

Experience establishing data governance, improving data quality and driving adoption of trusted data across the business. Executive-level communication and influencing skills, with demonstrated ability to translate data, analytics and AI capabilities into business impact. Experience building and leading global, high-performing teams and balancing long-term strategy with hands-on execution. Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills Enterprise Strategy:
Creates a clear, business-aligned vision and roadmap for enterprise data, analytics and AI capabilities. Leading Change:
Builds alignment, establishes accountability and guides complex organizations through transformation and adoption. Executive Influence:
Communicates with clarity, navigates tradeoffs and…