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 GitHub Copilot. Your work will help clients put new capabilities into practice and make informed decisions about adoption.

As a Manager, you will lead engagement workstreams, 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 workstreams 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 LangChain or LangGraph 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 range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines