Capgemini Invent - Smart Plant Solutions Managing Consultant

Capgemini; Buffalo (NY); On-site; USD 135,900 - 265,880; Full time

Benefits offered by this job

Paid time off

Medical coverage

Retirement plans

Life and disability insurance

Employee assistance

Job summary

Capgemini Invent in Buffalo, NY is seeking a Manager/Senior Manager to drive AI-enabled digital manufacturing transformations. You will lead design and implementation of factory platforms, leveraging AI and analytics to boost insights and outcomes, bridging strategy, technology, and execution.

You will mentor teams, manage senior stakeholders, and develop proposals for ROI-driven AI manufacturing initiatives, delivering end-to-end projects from design through execution.

Qualifications

• 8–15 years in digital manufacturing consulting.
• Strong MES, SCADA, automation platform expertise and implementation experience.
• Proven experience with problem solving, executive communication, and stakeholder management.
• AI literacy and experience applying analytics or automation in manufacturing.
• Team leadership, planning, and delivery governance experience.

Responsibilities

• Lead client projects to deliver AI-powered manufacturing improvements.
• Advise on current and future factory platforms for ROI-driven outcomes.
• Design and plan modern MES and next-generation digital manufacturing solutions.
• Define IT/OT integration using ISA-95/88.
• Mentor teams, promote AI literacy, and drive scalable delivery.
• Manage senior stakeholders with data-driven recommendations.
• Develop proposals and RFPs highlighting AI benefits and impact.
• Deliver AI-driven manufacturing solutions by leading end-to-end client projects from design through execution.

Skills

AI literacy

Executive communication

Stakeholder management

Team leadership

Problem solving

Tools

MES

SCADA

ISA-95/88

Cloud architecture

Edge computing

Job description

About The Job You’re Considering

As AI reshapes how organizations operate, compete, and create value, we are evolving our consulting model to be AI‑enabled by design — augmenting human judgment with analytics, automation, and generative AI. Our Enterprise Transformation team is looking for consultants who are not only strong problem solvers, but who are excited to work differently in an AI‑first world: curious, adaptable, and ready to help clients reimagine how work gets done.

Your Role

As a Manager / Sr. Manager in Capgemini Invent’s Intelligent Industry practice, you drive digital manufacturing transformations for global clients. You lead the design and implementation of modern factory platforms, leveraging AI and analytics to boost insights, decisions, and outcomes. The role bridges strategy, technology, and execution, turning future manufacturing visions into scalable, compliant solutions.

You Will

• Lead client projects to deliver AI‑powered manufacturing improvements.
• Advise on current and future factory platforms for ROI‑driven outcomes.
• Design and plan modern MES and next‑generation digital manufacturing solutions.
• Define IT/OT integration using industry standards (ISA‑95/88).
• Mentor teams, promote AI literacy, and drive scalable delivery.
• Manage senior stakeholders with data‑driven recommendations.
• Develop proposals and RFPs highlighting AI benefits and impact.
• Deliver AI‑driven manufacturing solutions by leading end‑to‑end client projects from design through execution.
• Manage risks, vendors, and ensure sustainable manufacturing operations.

Skills + Experience

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Required Experience

• 8 – 15 years in digital manufacturing consulting.
• Strong MES, SCADA, automation platform expertise and implementation experience.
• Proven experience demonstrating problem solving, executive communication, and stakeholder management skills.
• AI literacy and experience applying analytics or automation in manufacturing.
• Team leadership, planning, and delivery governance experience.

Nice To Have Experience

• Experience in Life Sciences manufacturing, GMP, LIMS, EBR.
• Familiarity with manufacturing data standards (OPC‑UA, MQTT, Kafka).
• Familiarity with cloud architecture and edge computing.
• Agile/Scrum certification and agile delivery experience.
• Vendor certifications or training in digital manufacturing/smart factory platforms.

Compensation

The base compensation range for this role in the posted location is: $135,900 – $265,880.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction, including geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business consideration, and internal pay equity.

Benefits

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A‑F), defined by policy: vacation 12‑25 days, 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.

Equal Opportunity / EEO Statement

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the duties, responsibilities and qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.