Data & AI Value Strategy Senior Manager

Accenture; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Accenture is seeking a Senior Enterprise AI Value Strategist to advise clients on creating and capturing value from AI and data. You will define enterprise AI and data strategy, develop value cases and roadmaps, shape operating models, embed Responsible AI, and lead tech-driven transformations with senior client stakeholders.

You will translate complex data into actionable insights, lead workstreams, and align AI initiatives with measurable business outcomes across enterprise, industry, and

Qualifications

• Experience in solutioning, designing, or delivering AI & Data projects.
• High-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines.
• Experience leading senior-level conversations or managing senior-level stakeholders.
• Engineering problem-solving mindset — applying technology to complex business problems.
• Strong program management and verbal and written communication skills.
• Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities.
• Excellent leadership and people skills with stakeholders and clients.

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 and define building blocks for AI-first operations.
• Create the business case, investment profile and roadmap to deliver on the strategy.
• Infuse Responsible AI in vision and roadmap, plan ecosystem partnerships, and define operating model for innovation.
• Identify people, processes and technologies to develop and operationalize AI solutions.
• Create strategy for AI-first products and develop commercialization opportunities.

Skills

Strategic thinking

Stakeholder management

Program management

Leadership

Communication

AI & Data strategy

Value realization

Solutioning

Education

Bachelor's degree or equivalent

MBA/Masters

Job description

As a senior Enterprise AI Value Strategist, you advise clients on how to create and capture value from AI and data. You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations. You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes.

THE WORK

• 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 & 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.

EDUCATION

Bachelor's degree or equivalent

• Experience — including solutioning, designing, or delivering AI & Data projects
• High-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience
• Experience leading senior-level (C-suite) conversations or managing senior-level stakeholders
• Engineering problem-solver mindset — ability to apply technology creatively to complex business problems
• Strong program management and verbal and written communication skills
• Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
• Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients

PREFERRED QUALIFICATION

MBA/Masters