AI-Driven Learning Strategy Manager (Utilities)

Accenture

Morristown (NJ)

On-site

USD 101,000 - 294,000

Full time

14 days+
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Job summary

Accenture is seeking a Learning Strategy Consultant to lead learning strategy engagements, mentor junior practitioners, and partner with client teams to deliver high-impact outcomes. The role emphasizes hypothesis-driven analysis, storytelling, and leveraging AI in learning solutions.

You will work with executives to connect learning to business results, design operating models, and contribute to ongoing IP and go-to-market capabilities. Travel may be required.

Qualifications

  • Minimum of 5 years of experience in learning strategy, organizational capability development, or talent consulting.
  • Minimum of 2 years in a consulting or professional services environment with strong project management skills.
  • Minimum of 2 years of experience leading client engagements and managing project teams or workstreams.
  • Minimum of 2 years of experience in the Utilities Industry.

Responsibilities

  • Lead day-to-day delivery of learning strategy engagements and manage workstreams and timelines.
  • Develop junior practitioners and maintain delivery standards across engagements.
  • Build strong relationships with client delivery counterparts as a day-to-day partner.
  • Apply hypothesis-driven, structured problem-solving to decompose challenges into insights.
  • Advise on learning vision, strategy, and operating model design to enable business performance.

Skills

Learning strategy
Organizational capability
Talent consulting
Project management
Client engagement leadership
Utilities industry

Job description

Accenture is seeking a Learning Strategy Consultant to lead learning strategy engagements, mentor junior practitioners, and partner with client teams to deliver high-impact outcomes. The role emphasizes hypothesis-driven analysis, storytelling, and leveraging AI in learning solutions.

You will work with executives to connect learning to business results, design operating models, and contribute to ongoing IP and go-to-market capabilities. Travel may be required.

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