Enterprise AI Value Strategy Senior Manager - Utilities

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Our AI and Data Strategy practitioners work to create and execute an organization's business strategy for AI and Data transformation including: defining a compelling industry vision, creating value models, architecting a client’s talent strategy, ecosystem partnership approaches, creating scalable operating, and envisioning best‑in‑class business/technology architecture & roadmaps.

We use scaled agile disciplines to transform around iterative approach sequencing use cases focused on critical data elements aligned to data product and platform feature development.

• Shape vision and create opportunities for AI, GenAI and data‑led business reinvention.
• Build client relationships and credibility as a trusted advisor on how to infuse AI, GenAI and data into the business processes or functions.
• Define and structure an organization’s AI and data strategy to build and optimize data assets, AI technologies for growth & competitive advantages.
• Assess maturity of an organization’s AI and Data strategy, talent, operating model, ways of working and data foundation.
• Define building blocks required to convert to an AI‑first organization, including technology and AI platform blueprint, data strategy and future‑ready operating model.
• Create the business case, investment profile and roadmap to deliver on the strategy (including revenue upside as well as cost‑takeout opportunities).
• Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
• Identify people, processes, and technologies to develop and operationalize AI solutions.
• Create strategy for AI‑first products and develop commercialization opportunities.

Ability to travel up to 80%; travel as needed based on client expectations.

• Minimum of 7 years of experience and demonstrated skills within the AI and Data Strategy space including (but not limited to):
  Enterprise & Function‑Specific Data Strategy, Talent Strategy, Value Case Development, Data Management, Data Analysis, Client Assessments, Roadmap, Requirements Gathering, Responsible AI, and/or leading tech‑driven transformations.
• Minimum of 7 years of high value consulting experience or equivalent internal consulting experience.
• Minimum of 7 years of experience leading work streams and meeting deadlines.
• Minimum of 7 years of large‑scale delivery experience.
• Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function.
• Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6‑year work experience.

• You have a Master’s degree in a relevant field.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

• California: $132,500 to $338,300
• Cleveland: $122,700 to $270,600
• Colorado: $132,500 to $292,200
• District of Columbia: $141,100 to $311,200
• Illinois: $122,700 to $292,200
• Maine: $112,900 to $249,000
• Maryland: $132,500 to $292,200
• Massachusetts: $132,500 to $311,200
• Minnesota: $132,500 to $292,200
• New York: $122,700 to $338,300
• New Jersey: $141,100 to $338,300
• Virginia: $122,700 to $311,200
• Washington: $141,100 to $311,200

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Accenture is an EEO and affirmative action employer. We believe no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.