Enterprise AI Value Strategy Manager

Accenture•St. Louis, MO
•$87,400 - $293,800

About The Position

Accenture Consulting works with executives and organizations to reinvent their enterprises, drive growth, improve competitiveness and operations, reduce costs, and create stakeholder value. Its AI and Data Strategy practitioners develop and execute AI and data transformation strategies, including industry vision, value models, talent strategies, ecosystem partnerships, operating models, business and technology architectures, and roadmaps. The Enterprise AI Value Strategy Manager shapes AI-, GenAI-, and data-led business reinvention opportunities and advises clients on integrating these capabilities into business processes and functions. The role structures AI and data strategies, assesses organizational maturity and readiness, defines the building blocks of an AI-first organization, and creates the business case, investment profile, and roadmap. It also incorporates Responsible AI, identifies ecosystem partnerships, supports innovation and experimentation, and develops strategies for AI-first products and commercialization. Travel may be required up to 80%, based on client expectations.

Requirements

  • Bachelor's degree.
  • At least 5 years of experience in AI and Data Strategy, including enterprise and function-specific data strategy, talent strategy, value case development, data management, data analysis, client assessments, roadmaps, requirements gathering, Responsible AI, and leading technology-driven transformations.
  • At least 5 years of high-value consulting experience or equivalent internal consulting experience.
  • At least 5 years of experience leading workstreams and meeting deadlines.
  • At least 5 years of large-scale global delivery experience.
  • Strong program management and verbal and written communication skills.
  • Fluency in spoken and written English.
  • Ability to build effective teams, foster a collaborative and inclusive environment, and develop strong client relationships.

Nice To Haves

  • Master's degree in a relevant field.
  • Ability to originate and shape new deals, lead client conversations, and participate in go-to-market activities.
  • Experience bringing innovative ideas to projects.

Responsibilities

  • Shape vision and create opportunities for AI-, GenAI-, and data-led business reinvention.
  • Build client relationships and serve as a trusted advisor on infusing AI, GenAI, and data into business processes and functions.
  • Define and structure AI and data strategies to build and optimize data assets and AI technologies for growth and competitive advantage.
  • Assess an organization's AI and data strategy, talent, operating model, ways of working, and data foundation.
  • Define the technology and AI platform blueprint, data strategy, and future-ready operating model needed to become an AI-first organization.
  • Create the business case, investment profile, and roadmap, including revenue opportunities and cost-takeout opportunities.
  • Incorporate Responsible AI into the vision and roadmap, plan for ecosystem partnerships, and define an operating model that fosters innovation and experimentation.
  • Identify the people, processes, and technologies needed to develop and operationalize AI solutions.
  • Create strategies for AI-first products and develop commercialization opportunities.
  • Travel as needed based on client expectations, up to 80%.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life insurance
  • Long-term disability coverage
  • 401(k) plan
  • Bonus opportunities
  • Paid holidays
  • Paid time off
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service