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

CapgeminiDallas, TX
$150,000 - $210,000Hybrid

About The Position

As a Senior Manager within Capgemini Invent's Intelligent Industry - Life Sciences practice, you will help clients accelerate operational transformation across Manufacturing, Supply Chain, Laboratory Operations, and Quality functions through the application of digital technologies, advanced analytics, and AI-enabled solutions. You will serve as a trusted advisor to client leadership teams while driving growth, leading complex engagements, and developing consulting talent.

Requirements

  • 10+ years of proven experience leading large-scale Manufacturing & Supply Chain transformation programs within pharmaceutical, biotechnology, medical device, or healthcare organizations.
  • 6+ years of experience in the consulting industry, with significant experience serving Life Sciences clients.
  • Deep expertise in two or more of the following areas: Smart Manufacturing, Manufacturing Operations, Supply Chain Transformation, Lab Informatics, Lab Operations, Operational Excellence, Digital Operations, Quality Transformation, Enterprise Transformation.
  • Demonstrated experience advising senior client stakeholders and executive leadership teams.
  • Experience developing business cases, transformation roadmaps, and operating models.
  • Proven track record managing consulting teams and multi-workstream engagements.
  • Experience contributing to business development, proposal development, and account growth activities.
  • Strong analytical, problem-solving, communication, and executive presentation skills.
  • Bachelor's degree required

Nice To Haves

  • Experience with one or more of the following: MES (Werum PAS-X, Syncade, Opcenter, Apriso), LIMS, ELN, Laboratory Informatics Platforms, QMS Platforms (TrackWise, Veeva Quality), PLM, SAP S/4HANA Manufacturing and Supply Chain, AI/GenAI-enabled operational transformation, Digital Twins and Connected Operations, Advanced Analytics and Operational Intelligence.
  • MBA, Master's, Engineering, Supply Chain, Life Sciences, or related advanced degree preferred

Responsibilities

  • Lead large-scale operational transformation programs across Manufacturing, Supply Chain, Quality, and Laboratory environments, delivering measurable business outcomes and sustainable value.
  • Advise senior Life Sciences client stakeholders on Smart Factory, Digital Manufacturing, Supply Chain, and Lab Transformation strategies, leveraging data, analytics, Automation, AI, and GenAI capabilities.
  • Design and implement future-state operating models, process improvements, and technology-enabled transformation roadmaps that improve efficiency, compliance, agility, and performance.
  • Manage end-to-end engagement delivery, including scope, budget, staffing, risk management, executive communications, and client satisfaction.
  • Develop business cases and value realization frameworks that align transformation investments with strategic and operational objectives.
  • Drive business development activities, including opportunity identification, solution shaping, proposal development, RFP responses, and executive client presentations.
  • Expand and strengthen executive-level client relationships while identifying opportunities to grow existing accounts and create new revenue streams.
  • Partner across Capgemini Invent and broader Capgemini capabilities, including Data & AI, Digital Engineering, Cloud, and Enterprise Transformation, to deliver integrated client solutions.
  • Champion AI and GenAI-enabled innovation across manufacturing, supply chain, and laboratory operations, helping clients unlock productivity, decision intelligence, and workforce transformation opportunities.
  • Contribute to the development of market offerings, thought leadership, accelerators, and differentiated Intelligent Industry solutions for the Life Sciences sector.
  • Lead, coach, and develop high-performing consulting teams, fostering a culture of collaboration, innovation, continuous learning, and inclusion.
  • Support practice growth through recruiting, capability development, mentorship, and knowledge sharing across the Intelligent Industry community.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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