Digital Manufacturing Transformation Consultant | Life Sciences

Accenture; Atlanta (GA); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking a Consultant for Manufacturing and Operations transformation within Life Sciences Supply Chain & Engineering, focusing on Data and AI transformation. You will analyze processes, design AI-enabled future states, and deliver AI-driven changes across manufacturing, quality, and supply chain for global life sciences clients.

You will work at the intersection of manufacturing, quality, and supply chain, applying AX Design principles to specify AI integration and human‑machine

Qualifications

• 3+ years in process excellence, process redesign, or management consulting.
• 1+ year using AI‑assisted analytics and Gen AI tools for content generation and low‑fi UI.
• 1+ year of integrating AI and automating business process design.

Responsibilities

• Analyze client current state and transform to data and AI driven future state.
• Design future-state processes with AI integration and workforce adoption plans.
• Deliver AI‑enabled transformations across manufacturing, quality, and supply chain.

Skills

Data analysis

AI/Gen AI understanding

Process mapping

Consulting mindset

Education

Bachelor's degree or equivalent

Tools

AI tools

Job description

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

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

• 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 experience delivering project work in consulting environment OR industry experience in at least one domain (e.g., Life Sciences, Consumer Goods Industrial, Energy, Utilities or Chemical and Natural Resources).
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work 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.

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 10/05/2026.

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
• Cleveland $59,100 to $164,600
• Colorado $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
• Virginia $59,100 to $189,300
• Washington $80,200 to $189,300

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