Process Excellence Consultant

Accenture PLC; Bayern; On-site; EUR 60,000 - 90,000; Full time

Job summary

Accenture PLC in Germany seeks a Consultant to apply AI tools across tasks, delivering AI-assisted analyses, benchmarking, and process redesign, with focus on human–machine interaction and adoption strategies.

You will design future-state processes, integrate AI into BPM, and contribute to industry reinvention playbooks while continuously learning to keep domain expertise current.

Qualifications

• Experience in process excellence, redesign, or management consulting.
• Experience producing industry trend analyses, benchmarking outputs, or change-impact assessments.
• Experience with AI-assisted analytics, visualization, or benchmarking tools.
• Experience integrating AI and automating business process design.
• Consulting delivery experience or industry domain experience in at least one area.
• Ability to analyze data and translate findings into structured recommendations.
• German language skills at least C1 level.

Skills

Process excellence

Trend analyses

AI-assisted analytics

AI in BPM design

Consulting experience

Data analysis

German C1

Education

Bachelor's Degree

Job description

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.

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
• You possess excellent German language skills at a minimum C1 level or higher.

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