AI Transformation & Process Excellence Consultant

Accenture; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture seeks a professional to design AI-enabled transformation programs, producing trend analyses, designing future-state processes, and supporting delivery of digital solutions across operations.

You will apply AX Design principles to define AI agent behaviors, autonomy levels, and handoffs, while building domain expertise and contributing to reference content. This role emphasizes continuous learning and client-facing collaboration.

Qualifications

• 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.
• Delivery experience in consulting environment OR industry experience in at least one domain.
• Ability to analyze data and translate findings into structured recommendations.

Responsibilities

• 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.

Skills

Process excellence

Process redesign

Management consulting

AI-assisted analytics

Data-driven recommendations

Trend analysis

Benchmarking

Change-impact assessments

Communication of findings

Client-facing

Education

Bachelor's degree or equivalent

Tools

Process mapping tools

Job description

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-EU

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