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About the Role

As a senior Enterprise AI Value Strategist, you will advise clients on creating and capturing value from AI and data. You will define enterprise, industry-specific, and function-specific AI and data strategy, develop value cases and roadmaps, and shape AI and data operating models and platform strategy. This role involves embedding Responsible AI, leading tech-driven transformations, translating complex data into actionable insights, engaging senior client stakeholders, and leading workstreams to tie AI initiatives to measurable business outcomes. You will serve as a trusted advisor to C-suite and operations leaders, helping clients plan, design, build, and ramp next-generation manufacturing facilities using AI. The role sits at the intersection of manufacturing, engineering, and supply chain, shaping, selling, and delivering large-scale greenfield and brownfield optimization programs.

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 & competitive advantages.
Assess maturity of an organization's AI and data foundation and define building blocks required to convert to an AI-first organization.
Create the business case, investment profile, and roadmap to deliver on the strategy.
Infuse Responsible AI in vision and roadmap, develop a plan for leveraging ecosystem partners, and define an 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.
Serve as a trusted advisor to C suite, operations, and engineering leaders, guiding AI transformation projects for Manufacturing from concept design through commissioning.
Build and expand executive relationships across priority manufacturing accounts, driving sustained growth and value realization.
Lead end-to-end manufacturing programs that integrate engineering, supply chain, digital manufacturing, automation, and sustainability.
Oversee complex, multi-partner delivery ecosystems such as technology partners and cloud hyperscalers.
Drive the design and delivery of AI-powered manufacturing solutions including digital twins, automation, data platforms, and advanced analytics.
Lead the application of generative AI and agent-based modeling to accelerate scalable use cases from shop floor to control tower and beyond.
Translate client business challenges into AI/ML use cases; lead proof-of-concept development and manage the path to enterprise-scale deployment.
Leverage Accenture's AI ecosystem and partnerships to shape and deliver cutting-edge client solutions.
Build, mentor, and inspire high-performing engineering and manufacturing transformation teams.
Contribute to capability development, reusable assets, and go-to-market offerings for Manufacturing.
Own financial performance, delivery excellence, and risk management across the portfolio.

Requirements

Minimum 8 years of AI & Data experience — including solutioning, designing, or delivering AI & Data projects.
Minimum 8 years of 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.
Hybrid experience both in consulting and in Life Sciences industry.
Familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation.
Expertise in big data technologies, ontology, AI/ML framework.
Experience in architecting for use cases in Manufacturing.
Certification in cloud and edge architecture (AWS certified solution architect and/or Azure solution architect expert).
Azure or AWS cloud experience.
Knowledge of edge and cloud capabilities.
Background working with or managing EPCs and global delivery partners in large scale programs.
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.
Strong understanding across Life Sciences manufacturing, quality, and supply chain.
Strong understanding of modern data and AI strategy, including data mesh, data products, semantic layers and how these foundations enable AI-driven manufacturing use cases.
Understanding of GxP and regulatory considerations in pharma manufacturing, and how they shape data and AI solutions.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Skills

AI
Data Strategy
Value Cases
Roadmaps
Operating Models
Platform Strategy
Responsible AI
Tech-driven Transformations
Actionable Insights
Client Stakeholder Engagement
Workstream Leadership
Business Outcomes
Manufacturing
Engineering
Supply Chain
Greenfield Programs
Brownfield Optimization
Data Assets
AI Technologies
AI-first Organization
Technology Blueprint
AI Platform Blueprint
Data Strategy
Future-ready Operating Model
Investment Profile
Ecosystem Partners
Innovation
Experimentation
AI Solutions
AI-first Products
Commercialization
C-suite Advisory
Operations Leadership
Engineering Leadership
AI Transformation
Concept Design
Commissioning
Account Management
Value Realization
Digital Manufacturing
Automation
Sustainability
Delivery Ecosystems
Digital Twins
Advanced Analytics
Generative AI
Agent-based Modeling
AI/ML Use Cases
Proof-of-Concept Development
Enterprise-scale Deployment
AWS
Microsoft Azure
Google Cloud
NVIDIA
Data/ML Vendors
Capability Development
Go-to-market Offerings
Financial Performance Management
Delivery Excellence
Risk Management
Big Data Technologies
Ontology
AI/ML Framework
Cloud Architecture
Edge Architecture
Edge Capabilities
EPC Management
Global Delivery Partners
Program Management
Communication Skills
Entrepreneurial Acumen
Deal Origination
Team Building
Collaboration
Inclusion
Relationship Building
Life Sciences Manufacturing
Quality Management
Supply Chain Management
Data Mesh
Data Products
Semantic Layers
GxP
Regulatory Considerations

Location

California
Cleveland
Colorado
District of Columbia
Illinois
Maine
Maryland
Massachusetts
Minnesota
New York
New Jersey
Virginia
Washington

Work Type

Travel is required for this role and could vary up to 50%.

Experience Level

Senior
Minimum 8 years of AI & Data experience
Minimum 8 years of high-value consulting experience

Salary/Compensations

California $132,500 to $338,300
Cleveland $122,700 to $270,600
Colorado $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Maine $112,900 to $249,000
Maryland $132,500 to $292,200
Massachusetts $132,500 to $311,200
Minnesota $132,500 to $292,200
New York $122,700 to $338,300
New Jersey $141,100 to $338,300
Virginia $122,700 to $311,200
Washington $141,100 to $311,200

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

About the Company

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries.
Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world.
We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale.
Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology.
We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue.
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.

Equal Opportunity

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization.
As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values.
Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
We believe that no one should be discriminated against because of their differences.
All employment decisions shall be made without regard to age, race, creed, color, religion, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment employment opportunities to our service men and women.