AI-Driven Process Transformation Lead

Accenture UK; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

Accenture UK is seeking a senior-level professional to own end-to-end process transformation design, focusing on embedding AI into future-state processes and operating models. You will lead client discovery workshops, drive benchmarking analyses, and shape adoption strategies across multiple industries.

You will design agentic AI solutions, manage stakeholder relationships, and mentor junior practitioners while ensuring responsible, human-in-the-loop design practices.

Qualifications

• Experience in process excellence, process redesign, or management consulting.
• Ability to lead client discovery workshops and present recommendations to senior leadership.
• Proven track record building benchmarking analyses and change-impact assessments.
• Experience using AI-assisted tools for benchmarking, analytics, or workshop facilitation.
• Experience designing future-state processes with AI to reinvent the way the work is done (e.g. operating model changes, adoption approaches).
• Previously been integrating AI and automating business process design.
• Deep expertise scoping and delivering project work in at least one industry domain (e.g., Banking/Capital Markets, Insurance, Software and Platforms, Communications and Media, High Tech, Health, Public Service, Life Sciences, Consumer Goods Retail and Travel, Industrial, Energy, Utilities or Chemical and Natural Resources).
• Applied knowledge of AI Design principles — specifying AI agent experiences within process designs, including autonomy levels, escalation triggers, and human-agent handoff quality

Responsibilities

• Embed AI into future state design for clients as well as in ways of working for your team using the appropriate AI tools and creating agents strategically to aid in deliverable creation.
• Own end-to-end analytics delivery within process transformation engagements — connecting data exploration and insight generation directly to future-state process design; maintain working knowledge of data pipeline concepts, feature engineering, and what makes data reliable for AI-integrated processes, sufficient to lead credible technical conversations with data and engineering teams.
• Design and implement agentic AI solutions where they create genuine value within process work: intelligent automation of analytical workflows, LLM-powered insight synthesis, and autonomous monitoring agents that surface process performance gaps continuously; understand RAG architecture, multi-agent coordination concepts, and when each approach fits the process problem.
• Apply GenAI evaluation frameworks (e.g. RAGAS, LLM-as-judge approaches) when reviewing or signing off AI-integrated process designs — able to assess whether a GenAI or agentic solution is performing well enough to be embedded in a client's process, not just whether it was built correctly.
• Drive responsible design across every engagement — embed human-in-the-loop checkpoints, escalation triggers, autonomy level definitions, and handoff quality standards as integral parts of every process and agentic solution design; apply LLMOps and AgentOps concepts at a working level to understand how solutions will be maintained in production.
• Lead future-state process specification, AI integration design, operating model changes, and adoption planning for your assigned industry or functional area.
• Run client discovery workshops and stakeholder interviews; present and defend recommendations to senior client leadership; manage day-to-day client relationships and issue resolution.
• Drive benchmarking analysis and change-impact assessments grounded in deep knowledge of how your industry or function operates.
• Facilitate design thinking sessions and co-creation workshops with cross-functional client teams.
• Connect operating model to future-state processes to drive transformation approaches that are practical and credible.
• Build and maintain documented redesign methods and playbook contributions for your assigned functional process areas.
• Contribute to business development by qualifying opportunities and co-authoring proposals.
• Coach junior practitioners on process redesign methods, domain-specific trend assessment, and operating model design.

Skills

Process redesign

Client workshops

Benchmarking analyses

AI tooling

Stakeholder management

Industry knowledge

Education

Bachelor's degree

Tools

AI tools

Process mining

RAG frameworks

Job description

Accenture UK is seeking a senior-level professional to own end-to-end process transformation design, focusing on embedding AI into future-state processes and operating models. You will lead client discovery workshops, drive benchmarking analyses, and shape adoption strategies across multiple industries.

You will design agentic AI solutions, manage stakeholder relationships, and mentor junior practitioners while ensuring responsible, human-in-the-loop design practices.