AI Transformation Manager

About the role

The AI Transformation Manager will help clients turn business priorities into high‑value AI products and agentic workflows. This role owns discovery, process redesign, product direction, agile backlog management, and benefits realization, working closely with business and technology stakeholders.

Key responsibilities

• Lead value‑discovery and process‑design workshops with business and technology stakeholders.
• Map current workflows, decisions, hand‑offs, pain points, controls and performance baselines.
• Prioritize agentic use cases based on value, feasibility, risk and time to impact.
• Act as product owner or product‑management lead for client delivery, maintaining outcomes, roadmap and backlog.
• Define business cases, KPIs, benefit owners and measurement approaches.
• Coordinate user adoption, operating‑model changes and transition to business ownership.

Required profile

• 7+ years in management consulting, digital transformation, product management or process improvement.
• Strong experience in business cases, process redesign, agile delivery and executive facilitation.
• Ability to translate business needs into clear product outcomes and acceptance criteria.
• Working understanding of AI, agents, data dependencies, human oversight and automation.

Required skills

• Working knowledge of agentic solution concepts such as tool calling, workflow orchestration, memory, retrieval‑augmented generation, human‑in‑the‑loop controls, evaluation and observability.
• Familiarity with platforms and frameworks like LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel, OpenAI Agents SDK, Microsoft Copilot Studio and workflow automation platforms.
• Experience using Agile product‑management tools such as Azure DevOps or Jira to manage epics, user stories, acceptance criteria, dependencies, releases and benefits measures.