The AI Transformation Leadership Program equips IT project and program managers with the governance frameworks, career assets, and AI leadership credentials to lead enterprise AI readiness — starting with the work you're already doing.
This program is not for AI engineers or data scientists. It is for the delivery professionals already at the center of enterprise AI readiness — who don't yet have the language, credentials, or assets to prove it.
Leading delivery at organizations under pressure to adopt AI — with no formal training in what that actually requires.
Whose team metrics, sprint data, and workflow standards are the exact inputs enterprise AI systems need to function.
Who need to speak the language of AI governance and readiness to guide organizational change with authority.
Ready to move from execution-focused roles to recognized AI Transformation leadership before the window closes.
"You're not behind on AI. You're manually running the exact pipeline AI would need to automate — and that makes you the person who should be designing how it gets built."— Dr. Gbemisola Adetayo, Program Instructor
Each session produces a tangible, career-building asset. You leave with a new title narrative, visible portfolio, rewritten resume, and a 12-month execution roadmap.
Map your current role against emerging AI leadership competencies. Define your trajectory toward AI Transformation Program Manager and close the gap strategically.
Translate your current responsibilities into formally named AI transformation initiatives. Learn to see your existing work through an AI readiness lens.
Design AI-ready workflows and understand Agentic AI Decision Environments — systems where AI agents operate with defined autonomy, accountability structures, and behavioral guardrails. Includes Behavioral Systems Design principles.
Covers structural prerequisites for AI at scale: data governance, process standardization, cross-functional alignment, and operating model design. Participants build an AI readiness blueprint for their own organizational context.
Applied instruction in the three frameworks every enterprise AI leader must understand: EU AI Act (risk classification, compliance), NIST AI RMF (Govern, Map, Measure, Manage), and OECD AI Principles (trustworthy AI, accountability, transparency).
Document 2–3 high-impact projects as structured case studies: Problem → Action → AI-Enabled Solution → Measurable Outcome. Designed for both internal visibility and external positioning.
Full resume rewrite leading with AI transformation narrative and measurable outcomes. LinkedIn rebuild with optimized headline, about section, and featured projects. Two thought leadership post drafts included.
Executive briefing and impact presentation deck from your portfolio projects. Closes with a personalized 6–12 month strategic career execution roadmap covering internal promotion and external opportunity targeting.
You will leave with working knowledge of the frameworks your organization's leadership is already being asked about — and the ability to apply them to your delivery context.
Understand how the EU's landmark AI regulation categorizes systems by risk and what compliance obligations apply to enterprise deployments.
Apply the NIST AI Risk Management Framework to identify, assess, and mitigate AI risks across your program and delivery environment.
Embed OECD principles — transparency, accountability, robustness, and human oversight — into enterprise AI adoption and operating models.
Dr. Gbemisola Adetayo is a Responsible Agentic AI Delivery Architect and AI Security and Governance Professional with a cross-disciplinary background spanning clinical practice, Fortune 500 IT project management, and enterprise AI governance.
She is a Research Group Member at the Center for AI and Digital Policy, where her work focuses on translating complex AI governance requirements into executable enterprise frameworks.
Her approach is grounded in one core insight: most organizations have the people they need to lead AI transformation — they just haven't been given the language, frameworks, or assets to do it visibly.
A certificate will be awarded upon successful completion of all 8 sessions, documenting 12 structured CPD hours of professional development in AI governance, readiness, agentic systems, and transformation leadership.
Designed to support employer reimbursement, internal promotion narratives, and LinkedIn credentialing.