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.

Experience driving technology or methodology adoption across multiple teams or business units that you did not directly control.
Experience implementing maturity frameworks, adoption roadmaps, or capability assessments.
A track record of building coalitions with senior stakeholders such as GMs, R&D leads, product owners.
Strong working knowledge of the current AI-assisted development tooling landscape including code generation, agentic coding workflows, automated testing, and code review tools.
Solid understanding of the software development lifecycle and how AI can meaningfully improve delivery workflows, not just augment individual tasks.
Experience working across multiple geographies, cultures, and levels of organisational maturity.
Ability to build repeatable enablement assets—playbooks, training, templates—that scale without requiring your direct involvement in every engagement.

AI Enablement Lead

Key skills