AI Strategy Leader: Enterprise Impact & Growth

EY-Parthenon; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

EY-Parthenon in London seeks an Associate Director to lead end-to-end AI strategy engagements with clients, guiding delivery and shaping commercial outcomes. You will translate complex client questions into implementable hypotheses, workplans and decisions, with oversight from Directors and Partners.

The role focuses on delivering enterprise AI strategies, assessing maturity and governance, and developing practical AI roadmaps and operating models to balance value, feasibility and risk.

Qualifications

• Experience leading AI strategy engagements and client-facing delivery.
• Ability to translate client questions into hypotheses, workplans and decisions.
• Strong governance, scope management and engagement economics experience.

Responsibilities

• Lead sizeable AI strategy engagements and act as primary client lead with oversight from Directors and Partners.
• Convert broad client questions into clear hypotheses, issue trees, workplans and decision points.
• Own day-to-day management of engagements, including team deployment, timelines and governance.
• Assess AI maturity, strategic priorities, technology landscape and translate findings into strategic recommendations and investment priorities.
• Develop and prioritise portfolios of AI use cases and practical AI roadmaps balancing value and feasibility.
• Define target AI operating models and collaboration between business, technology, data and risk teams.
• Lead or support buy-side AI due diligence for investors and assess AI capabilities' defensibility and relevance.

Job description

EY-Parthenon in London seeks an Associate Director to lead end-to-end AI strategy engagements with clients, guiding delivery and shaping commercial outcomes. You will translate complex client questions into implementable hypotheses, workplans and decisions, with oversight from Directors and Partners.

The role focuses on delivering enterprise AI strategies, assessing maturity and governance, and developing practical AI roadmaps and operating models to balance value, feasibility and risk.