Director, Digital Innovation - Head of AI Discovery & Incubation

• Define the firm’s Enterprise AI discovery roadmap, portfolio principles, global scale decisions, and resource/budget allocations while aligning the incubation pipeline with firmwide AI priorities and responsible AI guardrails
• Oversee the lifecycle of Enterprise AI initiatives from initial intake and prioritization through rapid prototyping, structured incubation, and final enterprise-ready transition
• Manage the Internal AI lab environment, providing secure, sandboxed experimentation infrastructure, model tooling access, and highly governed test data to enable rapid, low-risk testing
• Lead cross-functional internal innovation sprints and rapid prototyping initiatives, aligning business sponsors with engineering, architecture, risk, security, and legal teams early in the process
• Implement structured scoring and value validation to test business cases, preparing mature, de-risked concepts with comprehensive handoff packages for delivery teams
• Conduct continuous horizon scanning of emerging AI models, vendors, and academic research to deliver strategic, evidence-based recommendations to executive leadership
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

• Minimum ten years of recent, progressive technology, innovation, or digital transformation experience, with a proven track record of establishing or running an emerging technology or product incubator
• Advanced degree from an accredited college or university (for example, MS, MBA, or PhD) in a technical or business-innovation field is preferred; minimum of a Bachelor’s degree from an accredited college or university in computer science, information technology, business administration, or a related field is required; or twelve years of equivalent professional experience
• Deep working knowledge of Generative AI, machine learning frameworks, data platforms, enterprise cloud architecture, and modern agile software engineering practices
• Demonstrated capability to lead, influence, and build consensus across senior business leaders, technology groups, and corporate control teams (such as risk, security, privacy, and legal)
• Proven experience translating raw technology capabilities into structured, testable business cases, evaluating ROI, allocating resources, and defining realized value
• Strong executive communication skills with the ability to champion “responsible innovation” seamlessly, and balance creative speed with security, privacy, compliance, and ethical AI principles
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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