Join Accenture as an Applied AI Process Senior Manager in London (Full-Time). Shape process transformation methodologies by integrating agentic AI, data, and analytics into client engagements while managing and developing a skilled team.
Requirements
Bachelor's Degree or equivalent.
Experience in process excellence, process redesign, or management consulting.
Deep industry expertise in at least one domain (e.g., Banking, Insurance, Tech, Health, etc.).
Experience managing and developing team members in a consulting environment.
Proven track record of building, evaluating, and scaling AI-enabled solutions into client work.
Previous experience facilitating client workshops and presenting to senior leadership.
Preferred: Demonstrated ability to define and govern team methodology, familiarity with process mining or digital twin tools, and business development experience.
Skills & Responsibilities
AI Integration: Embed agentic AI, RAG, and multi-agent architectures into future-state process transformation designs.
Methodology Governance: Define and govern quality standards, evaluation frameworks, and responsible AI practices across client portfolios.
Team Leadership: Manage and coach senior practitioners on multi-agent concepts, GenAI evaluation standards, and executive communication.
Client Facilitation: Lead discovery workshops, deliver recommendation presentations, and manage day-to-day client stakeholder relationships.
Potential transition routes: People from Management Consulting, AI Product Management, or Process Engineering roles may bring consulting, stakeholder management, and analytical skills, alongside meeting the required process excellence experience.
Job description
You define how process transformation work gets done within your industry or function — setting the methodology, governing quality, and making sure every engagement reflects deep domain expertise as well as the right delivery standard. You manage and develop your team, coach senior specialists on what good looks like in your domain, and connect with technology and delivery partners to make sure the process and platform work fit together.
You've made AX Design, the intersection of human, agent, and process part of the team's methodology — you've worked out how to apply it in your domain context, and you coach your team on what human+AI agent experience design looks like in practice.
THE WORK
Embed AI into future state design for clients as well as in ways of working for your full workstream using the appropriate AI tools and creating agents strategically to aid in deliverable creation.
Define how data, analytics, and agentic AI capabilities integrate with process transformation methodology across the team's portfolio — governing technical standards, evaluation frameworks (including GenAI evaluation approaches), and responsible AI governance as part of the process excellence standard; set the team's standard for RAG and multi-agent architecture design within process transformation engagements.
Use model outputs and LLM-generated signals systematically to surface client process improvement opportunities — embedding this as a repeatable team capability; define how LLMOps and AgentOps practices apply within the team's delivery, ensuring AI-integrated process solutions are production-ready, monitored, and maintainable at scale.
Set information design and insight storytelling standards for the team; govern how analytical deliverables are structured and quality-reviewed before client delivery — including governing human-in-the-loop design standards, autonomy level specifications, and escalation trigger definitions across all agentic process solutions in the portfolio.
Manage and develop direct reports at the intersection of data, agentic AI, and process transformation; coach senior practitioners on multi-agent architecture concepts, GenAI evaluation standards, responsible AI governance, and communicating complex analytical and process decisions to executive audiences.
Define the process redesign standard for your industry or function — the method the team uses to assess domain forces, specify future-state processes, integrate AI, and design operating model changes — and govern its application across all engagements in your area.
Determine the client facilitation approach: discovery workshop methodology, recommendation presentation standards, and approval governance.
Define the benchmarking and transformation roadmap methodology the team applies.
Approve final process designs before client delivery.
Connect with technology and delivery partners to make sure process design and platform work fit together on joint deliverables.
Define how AX Design is embedded in the team's domain methodology — establishing the standard for how AI agent experiences are specified, reviewed, and validated within process transformation deliverables across all engagements.
#LI-EU
EDUCATION
Bachelor's Degree or equivalent
BASIC (REQUIRED) QUALIFICATION
Experience in process excellence, process redesign, or management consulting
Deep industry expertise in at least one 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), with the ability to apply it to transformation methodology design
Experience managing and developing team members in a consulting environment
Proven track of building, evaluating, and scaling AI-enabled solutions into client work with the ability to explain how AI addresses business problems
Previously been facilitating client workshops and presenting to senior leadership
Strong executive communication and facilitation skills
PREFERRED QUALIFICATION
Demonstrated ability to define and govern team methodology across a portfolio of client engagements
Familiarity with process mining, digital twin, or AI-assisted design tools for process validation
Experience contributing to business development, leadership proposal and facilitating client workshops
Demonstrated ability to embed AI Design into team delivery standards — governing how AI agent experiences are specified and validated across process transformation engagements
Understand AI partner ecosystem and help clients navigate complex technology choices
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
