Digital Manufacturing Transformation Consultant - Life Sciences

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: 
You produce data-driven analytical work — assessing trends and forces shaping your industry or function, designing future-state processes, and building the supporting materials that help senior practitioners shape transformation recommendations. You're developing real expertise in your domain and a point of view on how AI and automation can change the way it operates. You're comfortable working with structured guidance while taking on more with each engagement. 

You understand that  how AI agents and humans interact within processes — AX (Agentic Experience) Design — is just as important as the process design itself, and you're starting to apply those principles in your work. 

Accenture is seeking a Consultant for Manufacturing and Operations  transformation work within our Supply Chain & Engineering practice for Life Sciences with a focus on Data and AI transformation. We work with our pharmaceutical, biotech, medical technology, distributor and consumer health clients globally to redefine the future of the life sciences industry: combining the latest technology with scientific breakthroughs to revolutionize how medical treatments are discovered, developed and delivered to patients around the world.  

The role sits at the intersection of manufacturing, quality  and supply chain, and is responsible for delivering AI-enabled transformations for our clients and their patients.  
 
Key Responsibilities: 

Utilize relevant AI tools across all tasks and deliverable creation, including the creation of low-code proof of concepts (POCs), agents and other  artifacts that  facilitate: 

• Be able to analyze client’s current state by assessing processes, technology tools and organizational structure with an intent to transform to a data and AI insight driven future state. 

• Design future-state process specifications covering AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches applicable to Life Sciences manufacturing and quality functions.. 

• Conduct process analysis and support delivery of digital and platform solutions across operations. 

• Build analytical frameworks and data-driven assessments using AI-assisted visualization and analysis tools. 

• Develop change-impact assessments using AI-assisted organizational analysis tools. 

• Apply your industry or function knowledge to review and improve domain-specific reinvention designs and functional playbook content. 

• Contribute to the reference library and keep your domain expertise current through continuous learning. 

• Apply AX Design principles when specifying or reviewing AI integration designs — defining how AI agents should behave within each redesigned process step, what they handle autonomously, and when they hand off to a person. 

At a Consultant level within Life Sciences Supply Chain and Engineering, key project responsibilities could include: 

• Apply generative AI and agent-based modeling to accelerate scenario planning, exception management, and autonomous decision-making.  

• Define and implement AI-enabled supply chain control towers for real-time visibility, risk sensing, and proactive disruption management.  

• Collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation in manufacturing and distribution networks.  

• Translate business challenges into AI/ML use cases, build proof-of-concepts, and scale solutions to enterprise level.  

• Support data strategy, governance, and architecture to ensure high-quality, AI-ready supply chain data across ERP, PLM, MES, and logistics platforms.  

• Bring Accenture’s AI ecosystem and partnerships (AWS, Microsoft Azure, Google Cloud, NVIDIA, data/ML vendors) to deliver cutting-edge solutions.  

• Deliver business case development and value realization frameworks, quantifying AI-driven cost reduction, service improvement, and sustainability impact.  

• Contribute to practice development, knowledge sharing, and mentoring of junior consultants in AI and supply chain transformation programs.  

Travel Requirements:

Travel is required for this role and could vary up to 75%

Here's what you need:  

• Minimum 3 years of experience in process excellence, process redesign, or management consulting 
• Minimum 1 year using AI-assisted analytics, visualization and Gen AI tools for content generation as well as low-fi user interfaces (UI)  
• Minimum 1 year of integrating AI and automating business process design 
• Minimum 1 year of Life Sciences industry experience

Bonus Points If:  

• Familiarity with process mapping or process modeling tools 
• Strong analytical skills with the ability to communicate complex findings in clear business terms/structured recommendations 
• Client-facing consulting or advisory experience 
• Applies AI tools fluently and independently, including building agents, for higher-quality deliverables to business problems 
• Embeds AI Design principles into process specifications (agent behaviors, autonomy levels, handoffs) 
• Identifies where agentic AI can transform specific client process steps and articulates design implications 
• Uses AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs 
• Demonstrated continuous learning with emerging AI tools 
• Expertise in big data technologies, ontology, AI/ML framework  ​
• Ability to analyze data and translate findings into structured recommendations 
• Understanding of modern data and AI strategy, including data mesh, data products, semantic layers and how these foundations enable AI-driven manufacturing use cases  
• Familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation. Experience in architecting for use cases in Manufacturing 
• Understanding of GxP and regulatory considerations in pharma manufacturing, and how they shape data and AI solutions 
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

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 12/05/2026.

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 $70,350 to $205,800

Colorado $63,800 to $177,800

Connecticut $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maine $54,400 to $151,400

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York $66,300 to $205,800

New Jersey $68,000 to $205,800

Ohio $59,100 to $164,600

Virginia $59,100 to $189,300

Washington $80,200 to $189,300

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.

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