AI Transformation Program Manager (R-19993)
Hybrid
Jacksonville, United States
Shape the Future with Dun & Bradstreet
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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.
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.
- 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.
Essential Skills Needed:
- 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
Education:
- 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.
Source: the employer's careers page. Last checked 2026-09-30. Posted 2026-09-29.
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