WHAT WE’RE LOOKING FOR

• Demonstrated experience leading enterprise data and AI strategy or transformation programs
• Strong understanding of enterprise architecture, operating model design, and value-driven solutioning
• Proven ability to influence and partner with senior business and technology stakeholders
• Ability to navigate ambiguity and bring structure to complex problems
• Strong commercial acumen, with the ability to connect AI ambition to business impact
• Industry experience or exposure to Health & Public Services, Communications, or Technology-driven environments
• Prior consulting experience, or demonstrated success in a senior internal transformation role
• Expertise in AI maturity frameworks, adoption roadmaps, and AI operating models
• Understanding of cloud platforms and modern data ecosystems (e.g., Azure, AWS, GCP)
• Strong written and verbal communication skills, including experience in crafting executive-level presentations and points of view

ABOUT THE ROLE

Accenture is looking for a strategic, outcomes-focused leader to join our D&AI Strategy team within Strategy & Consulting. This role is designed for a seasoned professional who can shape and lead complex, enterprise-wide transformations, embedding data and AI at the heart of business and operating model reinvention.
You will be responsible for guiding clients through large-scale AI-led change – from defining ambition and identifying opportunity, to building investment cases and steering end-to-end execution.
We’re particularly interested in individuals with experience operating in complex, regulated sectors such as Health & Public Services or Communications, Media & Technology , who bring both strategic depth and delivery credibility.

KEY RESPONSIBILITIES

• Lead the development of holistic data and AI strategies, including operating models, architecture frameworks, and multi-year transformation roadmaps
• Design and drive AI transformation programs that reimagine business and technology functions, and accelerate value capture at scale
• Advise C-level stakeholders on the strategic implications of AI and data – influencing decision-making and aligning transformation with business objectives
• Shape actionable, insight-driven business cases and prioritised AI use cases aligned to value potential
• Guide clients through the organisational and cultural changes required to operationalise AI at scale – across talent, governance, and ways of working
• Lead and mentor cross-functional teams across strategy, architecture, engineering, and delivery
• Contribute to go-to-market activity, solutioning, proposal development, and internal capability uplift