AI Productivity & Adoption Lead

PwC•Tampa, FL

1d•$99,000 - $232,000

About The Position

As a Manager - AI Productivity & Adoption Lead, you will guide client-facing AI adoption and productivity initiatives within PwC’s Advisory practice, connecting workforce transformation needs with practical generative AI solutions. The role combines AI solution design, analytical modeling, prompt engineering, and the development and improvement of AI-enabled tools. Working across cloud engineering and product innovation, you will turn data into useful insights and shape Azure-based applications and workflows, including appropriate uses of GitHub Copilot. Your work will help clients put new capabilities into practice and make informed adoption decisions. You will lead engagement workstreams and own planning, budgets, timelines, and reviews of team deliverables. You will coach junior colleagues, draw on their strengths, and use feedback to develop their skills while maintaining technical standards. The role also involves building client relationships, applying sound judgment and professional skepticism to unclear requirements and difficult conversations, and identifying 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. Travel requirements are up to 80%. The salary range is $99,000–$232,000, with actual compensation dependent on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC lists medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and other benefits.

Requirements

At least a bachelor's degree.
At least 5 years of experience in organizational change management or workforce transformation consulting.

Nice To Haves

Preference for a field of study such as Business Administration/Management or Computer Science/Information Systems.
Experience leading M365 Copilot adoption initiatives through user and technical training for client teams.
Experience integrating Microsoft 365, Power Apps, and Power Automate into AI-enabled productivity workflows.
Experience designing agent orchestration and retrieval-augmented generation solutions using Azure AI Services and LLM APIs.
Experience applying LLM evaluation, guardrails, and data governance during AI solution deployment.
Experience coaching teams on prompt engineering and AI-human collaboration while incorporating user feedback.
Experience measuring adoption and business value through workforce analytics and benefits realization management.

Responsibilities

Lead client workstreams connecting AI productivity goals with workforce analytics, HR technology needs, adoption plans, and measurable business value.
Guide development of generative AI solutions using M365 Copilot, Azure AI Services, Python, LLM APIs, Microsoft Power Apps, and Power Automate.
Design prompts, retrieval-augmented generation, vector database integration, and agent workflows with LangChain or LangGraph for workforce use cases.
Evaluate language model outputs, conversational experiences, and analytical models through testing, LLM guardrails, and LLMOps practices across deployment and maintenance.
Establish data modeling, metadata, and governance practices for AI solutions, including identity and access controls, data loss prevention, and SharePoint content management.
Coordinate user training and learning management system content to build AI fluency, support human-AI collaboration, and gather feedback on digital tools.
Manage project plans, budgets, and team assignments; coach colleagues, review technical work, and address issues across client engagements.
Measure adoption and benefits realization through usage data, workforce metrics, and stakeholder feedback to refine solutions and present recommendations to clients.