AI Value Strategy Lead

Overview

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.

We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at

In Consulting we work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise are supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our AI and Data Strategy practitioners work to create and execute an organizations 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, envisioning best-in-class business/technology architecture & roadmaps. 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.