Digital Manufacturing Enterprise AI Value Strategy Manager | Life Sciences

Accenture•St. Louis, MO

4d•$112,900 - $338,300•Hybrid

About The Position

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. This executive will serve as a trusted advisor to C suite and operations leaders, helping clients plan, design, build, and ramp next generation manufacturing facilities using the power of AI. The role sits at the intersection of manufacturing, engineering, and supply chain, and is responsible for shaping, selling, and delivering large scale greenfield programs and brownfield optimization programs. The Senior Manager will assess growth, build client relationships, drive origination and own end to end delivery while building Accenture’s differentiated manufacturing capability.

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
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

Nice To Haves

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)
You have Azure or AWS cloud experience
You have 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

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. 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.
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 in a single transformation vision.
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, overseeing junior team members executing the work.
Lead the application of generative AI and agent-based modeling to accelerate scalable use cases from shop floor to control tower and beyond - translating complex technical outputs into executive-ready insights.
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 (AWS, Microsoft Azure, Google Cloud, NVIDIA, data/ML vendors) to shape and deliver cutting-edge client solutions.
Build, mentor, and inspire high performing engineering and manufacturing transformation teams across adjacent practices.
Contribute to capability development, reusable assets, and go—to-market offerings for Manufacturing.
Own financial performance, delivery excellence, and risk management across the portfolio.