• Advocate Adoption Across the Portfolio Lead structured AI adoption across approximately 30 software businesses, guiding each toward AI-delegated SDLC execution. • Partner with senior leaders and R&D teams to embed AI into core development workflows—without imposing a one-size-fits-all approach. • Define and execute a portfolio-wide AI adoption roadmap aligned with business priorities. • Identify and prioritize high-impact use cases that deliver real operational improvement. • Facilitate knowledge sharing and reuse of successful approaches across the portfolio—making the best ideas easy to find and adopt. • Develop targeted training for both technical and non-technical teams. • Mentor AI champions within each business unit so adoption is locally owned, not centrally dependent. • Develop and maintain an AI playbook with practical templates, implementation guidelines, and lessons learned. • Support the design and implementation of AI pilots, prototypes, and production solutions. • Provide practical guidance on AI tooling, architecture, and integration strategies. • Offer hands-on support where technical resources are limited—rolling up your sleeves when needed. • Establish appropriate guardrails covering responsible AI use, data privacy, and compliance. • Track and report measurable outcomes, including productivity improvements, cycle time reduction, and revenue growth from AI oriented initiatives.