Digital Manufacturing Data & AI Consultant | Life Sciences

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. 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.

About the role

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 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. You will produce data-driven analytical work—assessing trends, designing future-state processes, and building supporting materials to shape transformation recommendations. You will develop expertise in your domain and a point of view on how AI and automation can change operations, applying AX (Agentic Experience) Design principles to define how AI agents and humans interact within processes.

Responsibilities

• Utilize relevant AI tools across all tasks and deliverable creation, including low-code proof of concepts (POCs), agents, and other artifacts.
• Analyze clients’ current state by assessing processes, technology tools, and organizational structure 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 for 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 industry or function knowledge to review and improve domain-specific reinvention designs and functional playbook content.
• Contribute to the reference library and keep domain expertise current through continuous learning.
• Apply AX Design principles when specifying or reviewing AI integration designs—defining how AI agents behave, what they handle autonomously, and when they hand off to a person.
• 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.

Requirements

• 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).

Skills

• 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.
• 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 frameworks.
• 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.

Schedule

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

Pay

Compensation at Accenture varies depending on a wide array of factors, including but not limited to the specific office location, role, skill set, and level of experience. The following ranges are provided as required by local law:

• 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

This role may be located in the following U.S. cities: Atlanta, GA; Albany, NY; Arlington, VA; Austin, TX; Beaverton, OR; Bentonville, AR; Boston, MA; Carmel, IN; Charlotte, NC; Chicago, IL; Cincinnati, OH; Columbus, OH; Denver, CO; Detroit, MI; Hartford, CT; Houston, TX; Irving, TX; Kirkland, WA; Miami, FL; Milwaukee, WI; Minneapolis, MN; Morristown, NJ; Nashville, TN; New York City, NY; Overland Park, KS; Philadelphia, PA; Pittsburgh, PA; Raleigh, NC; San Francisco, CA; Seattle, WA; St. Louis, MO; St. Petersburg, FL.

Benefits

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.