AI Transformation Program Manager (R-19993)

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.

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. Establish and continuously enhance enterprise policies, governance structures, standards, and accountability frameworks for responsible AI adoption. Lead executive and enterprise governance forums responsible for oversight of AI strategy, investment decisions, risks, compliance, and transformation outcomes. Foster an AI-enabled culture that promotes innovation, experimentation, responsible usage, and continuous learning. Influence senior leaders and business stakeholders to integrate AI transformation objectives into strategic planning and operational execution. Serve as a visible enterprise champion for AI transformation and organizational change. Evaluate strategic partnerships, vendor ecosystems, and innovation opportunities that can accelerate enterprise transformation goals. Provide executive leadership with ongoing insights, strategic recommendations, risk assessments, and portfolio performance reporting. Lead resolution of enterprise-level risks, dependencies, conflicts, and organizational barriers affecting transformation success.

15+ years of experience leading enterprise transformation, technology strategy, AI innovation, digital transformation, operating model design, or business transformation programs. Demonstrated success defining and leading enterprise-wide AI strategies and large-scale transformation portfolios in global organizations. Deep expertise in generative AI, intelligent automation, machine learning, enterprise governance, AI operating models, and responsible AI frameworks. Experience advising executive leadership and influencing strategic business decisions involving substantial organizational investment and change. Proven ability to establish enterprise governance models, transformation offices, centers of excellence, and sustainable adoption frameworks. Strong knowledge of evolving AI regulatory environments, privacy requirements, governance frameworks, and risk management practices. Exceptional executive communication, organizational influence, strategic thinking, and stakeholder management skills. Demonstrated industry recognition or thought leadership in AI transformation, enterprise strategy, digital innovation, or related disciplines preferred. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. Proficiency in Microsoft Office Suite skills

Bachelor’s degree in Business, Computer Science, Data Science, Engineering, Information Systems, Organizational Development, or a related field required is required. Advanced degree is preferred.

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