AI Productivity & Adoption Lead

Industry/Sector Not Applicable Specialism Product  Innovation Management Level Manager Job  Description & Summary The Opportunity As a Manager - AI Productivity & Adoption Lead, you will guide client-facing AI adoption and productivity initiatives within our Advisory practice, connecting workforce transformation needs with practical generative AI solutions. This role combines AI solution design, analytical modeling and prompt engineering with the development and ongoing improvement of AI-enabled tools.

Working across cloud engineering and product innovation, you will help turn data into useful insights and shape Azure-based applications and workflows, including appropriate uses of Git Hub Copilot. Your work will help clients put new capabilities into practice and make informed decisions about adoption.

As a Manager, you will lead engagement work streams, taking ownership of planning, budgets, timelines and the review of team deliverables. You will coach junior colleagues, draw on their different strengths and use feedback to develop their skills while maintaining technical standards. Building meaningful client relationships calls for sound judgment and professional skepticism as you navigate unclear requirements, address difficult conversations and identify opportunities aligned with client objectives.

You will bring broader business context to decisions, encourage thoughtful use of technology and uphold the firm’s conduct and independence obligations.

Responsibilities
- Leading client work streams that connect AI productivity goals with workforce analytics, HR technology needs, adoption plans, and measurable business value
- Guiding development of generative AI solutions using M365 Copilot, Azure AI Services, Python, LLM APIs, Microsoft Power Apps, and Power Automate
- Designing prompts, retrieval-augmented generation, vector database integration, and agent workflows with Lang Chain or Lang Graph for workforce use cases
- Evaluating language model outputs, conversational experiences, and analytical models through testing, LLM guardrails, and LLMOps practices across deployment and maintenance
- Establishing data modeling, metadata, and governance practices for AI solutions, including identity and access controls, data loss prevention, and SharePoint content management
- Coordinating user training and learning management system content to build AI fluency, support human-AI collaboration, and gather feedback on digital tools
- Managing project plans, budgets, and team assignments while coaching colleagues, reviewing technical work, and addressing issues across client engagements
- Measuring adoption and benefits realization through usage data, workforce metrics, and stakeholder feedback to refine solutions and present recommendations to clients

What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience in organizational change management or workforce transformation consulting

What Sets You Apart
- Preference for at least one of the following fields of study:
Business Administration/Management, Computer Science/Information Systems
- Leading M365 Copilot adoption initiatives through user and technical training for client teams
- Integrating Microsoft 365, Power Apps, and Power Automate into AI-enabled productivity workflows
- Designing agent orchestration and retrieval-augmented generation solutions using Azure AI Services and LLM APIs
- Applying LLM evaluation, guardrails, and data governance during AI solution deployment
- Coaching teams on prompt engineering and AI-human collaboration while incorporating user feedback
- Measuring adoption and business value through workforce analytics and benefits realization management

Travel Requirements Up to 80%
Job Posting End Date The salary…