Strategy Principal Director, Data & AI Strategy (Utilities)

Accenture•Austin, TX

5d•$150,900 - $387,800

About The Position

Accenture’s Data and AI Strategy practitioners help organizations create and execute business strategies for data and AI. This includes defining an industry vision, developing value models and business and technology roadmaps, and designing operating models, platforms, and ecosystem architectures to support data-led transformation. Practitioners use scaled agile disciplines and iterative sequencing of use cases focused on critical data elements, data products, and platform features. The Data & AI Strategy Principal Director shapes data- and AI-led business reinvention, advises clients on embedding data and AI into business processes and functions, and defines strategies to build and optimize data assets and AI technologies. The role assesses organizational maturity and defines the technology, platform, data, and operating-model building blocks needed to become AI-first. It also develops business cases, investment profiles, and roadmaps; incorporates Responsible AI; plans ecosystem partnerships; and fosters innovation and experimentation. The director identifies the people, processes, and technologies needed to operationalize AI solutions, develops strategies for AI-first products and commercialization, and originates opportunities through the sales cycle. Travel may be required up to 80%, based on client expectations.

Requirements

Bachelor’s degree.
At least 10 years of experience in the Data and AI Strategy space, including Data Management, Data Analysis, Requirements Gathering, Responsible AI, and leading technology-driven transformations.
At least 7 years of high-value consulting experience or equivalent internal consulting experience.
At least 7 years of experience leading workstreams and meeting deadlines.
At least 7 years of large-scale delivery experience with minimal help.

Nice To Haves

Master’s degree in a relevant field.
Experience with senior-level (C-level or C-level minus one) conversations.
Strong program management and verbal and written communication skills.
Entrepreneurial ability to originate and shape new deals, lead client conversations, and participate in go-to-market activities.
Fluency in spoken and written English.
Leadership and people skills, including the ability to build effective teams, foster a collaborative and inclusive environment, and build strong client relationships.
Experience bringing innovative ideas to projects.

Responsibilities

Shape a vision and create opportunities for data- and AI-led business reinvention.
Build client relationships and serve as a trusted advisor on incorporating Data & AI into business processes and functions.
Define and structure data and AI strategies to build and optimize data assets and AI technologies for growth and competitive advantage.
Assess an organization’s data and AI foundation maturity.
Define the building blocks for becoming an AI-first organization, including technology and AI platform blueprints, data strategy, and a future-ready operating model.
Create the business case, investment profile, and roadmap for delivering the strategy.
Infuse Responsible AI into the vision and roadmap; develop plans for leveraging ecosystem partners and define an operating model that fosters innovation and experimentation.
Identify the people, processes, and technologies required to develop and operationalize AI solutions.
Create strategies for AI-first products and develop commercialization opportunities.
Originate new opportunities and guide them through the sales cycle.
Lead workstreams, meet deadlines, and lead large-scale delivery with minimal help.
Travel as needed based on client expectations, potentially up to 80%.