Workforce Reinvention Manager - Utilities & AI Strategy

Accenture PLC; Redmond; On-site; AUD 128,000 - 418,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan with matching

Bonuses and paid time off

Job summary

Accenture is seeking a Manager to lead workforce reinvention initiatives, leveraging data analytics, AI, and change management to help clients reinvent how work gets done. You will drive end-to-end programs across Digital, Cloud, and enterprise functions with a focus on human-machine collaboration and value creation.

You’ll shape talent strategies, collaborate with partners, manage SOWs and client communications, and guide leaders through transformation while traveling up to 80% to client sites

Qualifications

• Minimum of 5 years of experience across integrated Talent functions including Talent Strategy, Strategic Workforce Planning, Skills-Based Talent Practices, Talent Intelligence, Strategic Sourcing, Learning Strategy & Development, Workforce Transformation, and Technology Talent Development.
• Minimum of 3 years of consulting experience designing and delivering workforce, talent, organization, or change solutions.
• Minimum of 1 year of experience helping organizations prepare for AI-enabled workforce transformation.
• Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function.

Responsibilities

• Use data and analytics to drive insights to shape experience led end to end Workforce Reinvention programs for Digital, Cloud, Enterprise Wide and Support Functions.
• Manage project teams to use data collection and assessment tools for identifying AI and automation impact on roles, task-level opportunities for Human+Machine collaboration, and transformation pathways at the organization and individual level and the web of associated changes that power these impacts to create meaningful organizational value.
• Manage project teams to craft workforce reinvention strategies that highlight future role and work implications for the enterprise, business function and workforce.
• Collaborate with Ecosystem Alliance Partners using Gen AI, agentic AI, and automation technologies to design solutions that reshape how work gets done across human and machine workers.
• Work with clients and use data to identify how roles must evolve, what work should shift to machines, and what uniquely human capabilities to build and why for each direction.
• Design AI-enabled operating models where humans focus on judgment, creativity, and exceptions while machines handle routine processing and pattern recognition.
• Co-create and support enterprise-wide reinvention conversations that connect workforce transformation to business strategy and value creation.
• Design and drive change programs that move organizations from analysis to action—helping leaders adopt new ways of working and manage blended human-machine teams.
• Lead authentically and with a people-first mindset that fosters inclusivity and celebrates diversity. Mentor team members, providing them with experiences to continually learn and grow.
• Manage and support business development efforts, including Statements of Work (SOW), proposal development, and client presentations.
• Contribute to practice development initiatives including culture building, internal community involvement, capability development, recruiting, and whitepapers.

Skills

Data analytics

AI

Consulting

Leadership

Stakeholder mgmt

Change management

Education

Bachelor's degree

Tools

Gen AI

LLMs

Job description

Accenture is seeking a Manager to lead workforce reinvention initiatives, leveraging data analytics, AI, and change management to help clients reinvent how work gets done. You will drive end-to-end programs across Digital, Cloud, and enterprise functions with a focus on human-machine collaboration and value creation.

You’ll shape talent strategies, collaborate with partners, manage SOWs and client communications, and guide leaders through transformation while traveling up to 80% to client sites