AI Transformation Program Manager

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The AI Transformation Program Manager is responsible for shaping and advancing the company's long-term vision, strategy, governance framework, and operating model for responsible internal AI adoption and value realization.   The role works closely with executive leadership to identify enterprise-wide transformation opportunities, influence business strategy, establish AI-enabled operating models, and drive sustainable competitive advantage through responsible AI innovation.   It leads the most complex, cross-functional, and business-critical transformation initiatives while establishing organizational capabilities, governance standards, adoption frameworks, and value measurement methodologies used across the enterprise.    As a recognized subject matter expert, this role influences executive decision-making, industry best practices, and enterprise investment priorities while ensuring AI initiatives align with corporate objectives, risk management requirements, regulatory expectations, and long-term business outcomes.

Essential Responsibilities:

• Define and continuously evolve the enterprise-wide vision, transformation strategy, and multi-year roadmap for responsible AI adoption and business transformation.
• Partner with executive leadership to identify strategic opportunities where AI can fundamentally improve operating models, productivity, decision-making, customer outcomes, and enterprise value creation.
• Serve as the principal advisor to senior executives on AI transformation opportunities, risks, industry trends, governance considerations, and investment priorities.
• Establish enterprise-wide transformation frameworks, operating models, governance processes, and portfolio management methodologies that guide AI adoption across all business functions.
• Oversee the enterprise AI transformation portfolio, ensuring prioritization and investment decisions align with corporate strategy, expected value, organizational readiness, and risk tolerance.
• Sponsor and guide the most complex, high-impact, and strategically significant AI transformation initiatives across the organization.
• Establish standardized approaches for business case evaluation, value realization measurement, prioritization, scalability assessment, and benefits tracking.