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Accenture

Applied AI Process Consultant

Reposted 2 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Design and analyze future-state processes with integrated AI agents, conduct benchmarking and change-impact assessments, build AI-assisted analytics and visualizations, and produce structured recommendations to support client transformation and adoption.
The summary above was generated by AI

You produce solid analytical work — assessing trends and forces shaping your industry or function, designing future-state processes, and building the supporting materials that help senior practitioners shape transformation recommendations. You're developing real expertise in your domain and a point of view on how AI and automation can change the way it operates. You're comfortable working with structured guidance while taking on more with each engagement. 

You understand that designing how AI agents interact within processes — AX Design — is just as important as the process design itself, and you're starting to apply those principles in your work. 

THE WORK

Utilize relevant AI tools across all tasks and deliverable creation, including the creation of agents and other tools to help facilitate:

  • Produce trend and forces assessments for your assigned industry or function, including benchmarking analyses that show where the client stands relative to peers and where the reinvention opportunity lies. 

  • Design future-state process specifications covering AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches for your domain area. 

  • Conduct process analysis and support delivery of digital and platform solutions across operations. 

  • Build analytical frameworks and data-driven assessments using AI-assisted visualization and analysis tools. 

  • Conduct benchmarking analysis with AI-accelerated industry and peer comparison tools. 

  • Develop change-impact assessments using AI-assisted organizational analysis tools. 

  • Apply your industry or function knowledge to review and improve domain-specific reinvention designs and functional playbook content. 

  • Contribute to the reference library and keep your domain expertise current through continuous learning. 

  • Apply AX Design principles when specifying or reviewing AI integration designs — defining how AI agents should behave within each redesigned process step, what they handle autonomously, and when they hand off to a person. 

#LI-MP

EDUCATION 

  • Bachelor's Degree or equivalent 

BASIC (REQUIRED) QUALIFICATION 

  • Experience in process excellence, process redesign, or management consulting 

  • Experience producing industry or function trend analyses, benchmarking outputs, or change-impact assessments 

  • Previous usage of AI-assisted analytics, visualization, or benchmarking tools (e.g. Platform Native AI capabilities) 

  • Experience integrating AI and automating business process design 

  • You have previously delivered project work in consulting environment OR industry experience 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) OR worked within 

  • Ability to analyze data and translate findings into structured recommendations 

PREFERRED QUALIFICATION 

  • Familiarity with process mapping or process modeling tools 

  • Strong analytical skills with the ability to communicate complex findings in clear business terms/structured recommendations 

  • Client-facing consulting or advisory experience 

  • Applies AI tools fluently and independently, including building agents, for higher-quality deliverables to business problems 

  • Embeds AI Design principles into process specifications (agent behaviors, autonomy levels, handoffs) 

  • Identifies where agentic AI can transform specific client process steps and articulates design implications 

  • Uses AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs 

  • Demonstrated continuous learning with emerging AI tools 

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.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement     

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.

Accenture London, England Office

30 Fenchurch St, London, United Kingdom, EC3M 3BD

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