Applied AI Process Manager

Overview

You lead the end-to-end design of AI-enabled future-state processes for client transformations. You integrate AI agent experiences into operating models, shaping how people work with intelligent systems to achieve business outcomes. You own analytics delivery within process redesign, from data exploration to future-state design, and you translate insights into actionable recommendations. You guide responsible AI design, ensuring human-in-the-loop, escalation, and handoff quality are embedded in every solution. This role blends domain expertise, AI literacy, and hands-on delivery to drive measurable transformation at scale.

Responsibilities

• Lead future-state process specification and AI integration design for a chosen industry or function.
• Embed AI agents and autonomous monitoring within process work to deliver tangible value.
• Own analytics delivery and ensure data reliability for AI-driven processes.
• Apply GenAI evaluation frameworks to assess embedding suitability in client processes.
• Incorporate human-in-the-loop, escalation triggers, autonomy levels, and handoff quality into designs.
• Run client discovery workshops, present recommendations to senior leadership, and manage client relationships.
• Perform benchmarking analyses and change-impact assessments grounded in industry knowledge.
• Facilitate design thinking and co-creation sessions with cross-functional client teams.
• Connect operating models to future-state processes and contribute to playbooks and redesign methods.
• Support business development through opportunity qualification and proposal contributions, and coach junior practitioners.

Key requirements

• Bachelor’s Degree or equivalent
• Experience in process excellence, process redesign, or management consulting
• Proven ability to lead client discovery workshops and present to senior leadership
• Track record building benchmarking analyses and change-impact assessments
• Experience using AI-assisted tools for benchmarking, analytics, or workshop facilitation
• Experience designing future-state processes with AI and integrating AI into business process design
• Prior experience integrating AI and automating business process design
• Deep expertise scoping and delivering projects in at least one industry domain

• Executive communication
• Facilitation and design thinking
• Cross-functional collaboration
• AI design principles (agent experiences, autonomy levels, handoff)
• GenAI evaluation frameworks (e.g., RAGAS, LLM-as-judge)
• RAG/LLM-based architectures, LLMOps, AgentOps

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