Manager / Sr. Manager - Smart Factory & Supply Chain | Life Sciences / Labs

Capgemini • Atlanta, GA

6d • $140,000 - $200,000

About The Position

Capgemini Invent’s Life Sciences industry team advises pharmaceutical, biotechnology, medical device, and healthcare organizations on operational performance and transformation across the value chain. The team combines industry and functional expertise with data, digital technologies, advanced analytics, automation, AI, and generative AI to help clients build connected, intelligent, compliant, and resilient operations.

As a Manager / Senior Manager, Smart Factory & Supply Chain, you will advise senior client stakeholders and lead complex operational transformation programs across manufacturing, supply chain, laboratory operations, and quality. You will shape future-state operating models, transformation roadmaps, and AI-enabled solutions intended to improve efficiency, compliance, agility, decision-making, and business performance. The role also involves overseeing engagement delivery, strengthening executive client relationships, developing consulting talent, and contributing to business and account growth.

The role calls for strong AI literacy and the ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness. You will work across strategy, technology, data, and design, apply responsible AI principles, and maintain curiosity about emerging AI capabilities and their practical use in client environments. Travel may be required up to 50%, based on client needs.

The posted base compensation range is $140,000 to $200,000. The position may also be eligible for variable incentives, bonuses, or commissions. Benefits for regular, full-time employees may include paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• 10 or more years of experience leading large-scale manufacturing, supply chain, laboratory, quality, or operational transformation programs within pharmaceutical, biotechnology, medical device, or healthcare organizations.
• At least 6 years of consulting experience, including significant experience advising and delivering transformation programs for Life Sciences clients.
• Deep expertise in at least two of these areas: Smart Manufacturing, Manufacturing Operations, Supply Chain Transformation, Lab Informatics, Lab Operations, Operational Excellence, Digital Operations, Quality Transformation, or Enterprise Transformation.
• Experience developing future-state operating models, business cases, value realization frameworks, process improvements, and technology-enabled transformation roadmaps.
• Experience with relevant platforms and technologies such as MES (including Werum PAS-X, Syncade, Opcenter, or Apriso), LIMS, ELN, laboratory informatics platforms, QMS platforms (including TrackWise or Veeva Quality), PLM, SAP S/4HANA Manufacturing and Supply Chain, digital twins, connected operations, advanced analytics, and AI/generative-AI-enabled transformation.
• Demonstrated success advising executive stakeholders, leading multi-workstream consulting engagements, managing high-performing teams, and delivering complex transformation programs.
• Proven experience contributing to business development, proposal creation, solution shaping, executive presentations, and account growth.
• Strong analytical, problem-solving, communication, stakeholder management, and executive presentation skills.
• Bachelor’s degree required.
• Strong AI literacy, including core AI and generative AI concepts, and understanding of their application to enterprise transformation.
• Ability to identify and support AI-enabled opportunities, and experience using AI-augmented ways of working to enhance research, analysis, and solution development.
• Ability to collaborate across strategy, technology, data, and design, with understanding of responsible AI principles such as ethics, privacy, security, and governance.
• Ability to travel up to 50%, based on client needs.

Nice To Haves

• MBA or advanced degree in engineering, supply chain, Life Sciences, or a related field.

Responsibilities

• Lead large-scale transformation programs across Life Sciences manufacturing, supply chain, laboratory, and quality environments, delivering measurable business outcomes and sustainable value.
• Advise senior client stakeholders on Smart Factory, digital manufacturing, supply chain, laboratory, and quality transformation strategies using data, automation, advanced analytics, AI, generative AI, digital twins, and connected operations.
• Design future-state operating models, process improvements, technology-enabled transformation roadmaps, business cases, and value realization frameworks aligned with clients’ strategic and operational objectives.
• Manage end-to-end engagement delivery, including scope, budget, staffing, risk management, executive communications, client satisfaction, and multidisciplinary consulting teams.
• Drive business development through opportunity identification, solution shaping, proposals, RFP responses, executive presentations, account expansion, and collaboration across Capgemini capabilities.
• Build and strengthen executive-level client relationships, identifying opportunities to expand existing accounts and create new revenue streams.
• Champion AI- and generative-AI-enabled innovation across manufacturing, supply chain, laboratory, and quality operations to improve productivity, decision intelligence, compliance, and workforce effectiveness.
• Contribute to Life Sciences market offerings, thought leadership, accelerators, and differentiated Smart Factory, Supply Chain, Labs, Manufacturing, and Quality solutions.
• Lead, coach, and develop consulting teams, supporting recruiting, mentorship, capability development, and knowledge sharing.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• Potential eligibility for variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager