Process Excellence and Agentic Change Manager
Role Overview
Manager in Accenture’s UKI Supply Chain and Engineering Data and AI team, working across process transformation, intelligent automation, and agentic AI.
The work focuses on reimagining supply chain, procurement, and operations processes using process intelligence, AI, and human-centred change.
Relevant backgrounds include data science, process engineering, intelligent automation, decision intelligence, management consulting, and operations.
Key Skills for This Role
Full Job Posting
Opportunity
Manager in Accenture’s UKI Supply Chain and Engineering Data and AI team, working across process transformation, intelligent automation, and agentic AI.
The work focuses on reimagining supply chain, procurement, and operations processes using process intelligence, AI, and human-centred change.
Relevant backgrounds include data science, process engineering, intelligent automation, decision intelligence, management consulting, and operations.
Process and AI delivery
- Lead end-to-end process diagnostics using process mining, data analysis, and operational assessment to identify inefficiency and automation opportunities.
- Design agentic AI solutions, including orchestration frameworks, agent workflows, human-in-the-loop decision points, and integration architecture.
- Lead consulting workstreams, accountable for scope, quality, timelines, client outcomes, and cross-functional teams.
- Define target processes, responsibility models, and governance structures for AI-enabled operations.
Platforms and tools
- Work with platforms including Celonis, SAP, Coupa, Kinaxis, o9, LangChain, Microsoft Copilot Studio, and custom LLM integrations.
- Decision intelligence experience with Aera Technology, Palantir, or equivalent platforms is cited.
Change, growth, and people development
- Lead stakeholder engagement, capability building, communications, and cultural change to support working alongside AI agents.
- Identify growth opportunities, shape proposals, and support client development through presentations, case studies, and thought leadership.
- Coach junior colleagues and contribute to AI assets, methodologies, and knowledge development.
Experience and capabilities
- 6 to 10 years across process excellence, intelligent automation, data and AI, supply chain consulting, or operations in consulting, industry, or technology roles.
- Strong process thinking and data analytical skills; experience may span process mining, Lean or Six Sigma, or structured process redesign methodologies.
- Ability to translate supply-chain problems into practical AI-enabled decisions and workflows.
- Candidates should combine technical credibility, client-facing confidence, and a genuine interest in agentic AI.
Work arrangement
- Flexibility and mobility are required; delivery includes time on-site with clients and partners.
Compensation and benefits
- Salary is described as competitive, with benefits.
- Benefits include 30 days of vacation per year, private medical insurance, and three additional days of leave for charitable work.
Application timing
- The stated application closing date is 30 November 2026; the employer may close the posting earlier if a suitable applicant is found.
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