Applied AI Process Senior Manager

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.
• Determine how domain expertise and functional playbook methodology are applied consistently across the team's portfolio of engagements.
• Manage client stakeholder facilitation activities — discovery workshops, recommendation presentations, and day-to-day relationship management.
• 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.

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About Accenture

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