Enterprise AI Value Strategy Lead

Information Technology Senior Management Forum; New York (NY); On-site; USD 87,000 - 294,000; Full time

Job summary

Accenture accelerates growth by advising on AI value strategies, data architectures, and platform roadmaps. The Enterprise AI Value Strategy Manager role engages senior clients to translate data into measurable outcomes, guiding large-scale transformations.

Responsibilities include leading workstreams, embedding Responsible AI, building business cases, and shaping operating models in a global consulting context.

Qualifications

• Minimum 7 years of AI & Data experience, including solutioning, designing, or delivering AI & Data projects.
• Minimum 7 years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams.

Responsibilities

• Shape vision and create opportunities for data & AI led business reinvention.
• Define and structure an organization’s data and AI strategy to build and optimize data assets and AI technologies for growth and competitive advantages.
• Assess maturity of an organization’s AI 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.
• 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.

Skills

AI & Data experience

Consulting experience

Job description

Accenture accelerates growth by advising on AI value strategies, data architectures, and platform roadmaps. The Enterprise AI Value Strategy Manager role engages senior clients to translate data into measurable outcomes, guiding large-scale transformations.

Responsibilities include leading workstreams, embedding Responsible AI, building business cases, and shaping operating models in a global consulting context.