AI Transformation Program Manager (R-19993)

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.