Digital Manufacturing Enterprise AI Value Strategy Senior Manager | Life Sciences

Accenture PLC; Cincinnati (OH); On-site; USD 123,000 - 271,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) plan

Bonus opportunities

Paid time off

Job summary

Accenture PLC in Cincinnati 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 strategy, develop value cases, shape operating models, and lead large-scale transformations that tie AI initiatives to measurable business outcomes.

You will serve as a trusted advisor to C-suite and operations leaders, driving end-to-end manufacturing programs that integrate engineering, supply chain, and digital

Qualifications

• Minimum 8 years of AI & Data experience, including solutioning, designing, or delivering AI & Data projects.
• Extensive consulting experience with senior stakeholder engagement (C-suite) in Life Sciences or manufacturing.
• Strong ability to translate client challenges into AI/ML use cases and roadmaps.
• Experience leading large-scale manufacturing transformations.

Responsibilities

• Lead end-to-end manufacturing AI transformations from concept to deployment.
• Build executive relationships and guide AI strategy across programs.
• Define data and AI strategies, operating models, and roadmaps.
• Oversee multi-partner delivery and ensure business value realization.
• Embed Responsible AI and manage risk across projects.

Skills

AI Strategy

Data Strategy

Executive Stakeholder Management

Manufacturing Transformation

Tools

AWS

Microsoft Azure

Google Cloud

NVIDIA

Job description

We are:

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. Visit us at accenture.com.

WHO WE ARE

We are Accenture’sSupply Chain and Engineeringreinvention partner for Life Sciences. We embed innovation, intelligence, andAI-nativeoperationsinto the way the world designs, engineers, manufactures, anddistributesproducts. Weserve Life Sciences clients across thevalue chain to help bringlifesavingmedicines and products to patientsthroughharnessing the power of advancedtechnologies.

The Work:
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 facilitiesusing 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 programsand brownfield optimization programs. The Senior Manager will assess growth,buildclient relationships,drive originationandownend to end delivery while building Accenture’s differentiatedmanufacturing capability.

Key Responsibilities:

Data and AI -Led Reinvention for Life Sciences Manufacturing

• Shape vision and create opportunities for data & AIledbusiness 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, developplanfor leveraging ecosystem partners, and define operatingmodelto foster a culture of innovation and experimentation.

• Identify people, processes and technologies to develop andoperationalizeAI solutions.

• Create strategy for AI-first products and develop commercialization opportunities.

Client Leadership & Growth

• Serve as a trusted advisor to C suite, operations, and engineering leaders, guidingAI transformationprojects for Manufacturing from concept design through commissioning.

• Build and expand executive relationships across priority manufacturing accounts, driving sustained growth and value realization.

ManufacturingProgram Leadership

• Lead end to end manufacturing programsthat integrate engineering, supply chain, digital manufacturing, automation and sustainability in a single transformation vision..

• Oversee complex, multi partner delivery ecosystemssuch astechnology partnersand cloudhyperscalers

AI-EnabledDigital Manufacturing

• Drive the design and delivery of AI-poweredmanufacturingsolutionsincluding 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 acceleratescalable 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.

Practice & Talent Leadership

• 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.

Travel Requirements:

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

Here's what you need:

• 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

Bonus Points If:

• 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 inarchitecting foruse 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
• 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 understandingacrossLife Sciencesmanufacturing, quality and supply chain
• Strong understanding of modern data and AI strategy, including data mesh, data products,semanticlayers and how these foundations enable AI-drivenmanufacturing use cases
• Understanding ofGxP and regulatory considerations in pharma manufacturing, and how they shape data and AI solutions

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 09/28/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
California $132,500 to $338,300
Colorado $132,500 to $292,200
Connecticut $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

Ohio $122,700 to $270,600

Virginia $122,700 to $311,200

Washington $141,100 to $311,200

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