Digital Manufacturing Enterprise AI Value Strategy Senior Manager | Life Sciences

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
's

Supply Chain and Engineering

reinvention partner for Life Sciences
. We embed innovation, intelligence, and

AI-native

operations

into the way the world designs, engineers, manufactures, and

distributes

products. We

serve Life Sciences clients across the

value chain to help bring

lifesaving

medicines and products to patients

through

harnessing the power of advanced

technologies.

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 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

m
anufacturing capability.

Key Responsibilities:

Data and AI -Led Reinvention for Life Sciences Manufacturing

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.

Client Leadership & Growth

Serve as a trusted advisor to C suite, operations, and engineering leaders, guiding

AI transformation

projects f
or Manufacturing f
rom concept design through commissioning.

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

Manufacturing

Program Leadership

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

hy
perscalers

AI-Enabled

Digital Manufacturing

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.

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 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
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
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
About Accenture
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.
Visit us at

www.accenture.com

What We Believe

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 diversi