[Hiring] Smart Manufacturing- Pharma AI @Capgemini

Role Description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

• Presales & Opportunity Shaping:
  • Lead discovery workshops to shape problem statements, value cases, target architecture, and transformation roadmaps for pharma manufacturing.
  • Proposal / RFP Leadership: Own proposal response strategy, solutioning, estimation, delivery approach, risk assumptions, pricing inputs, and develop reusable POVs/demos.
  • Excellent storyboarding, value articulation, case writing, assumptions/risks/dependencies, and capability of creating executive-ready decks is mandatory.
• Estimation & Planning:
  • Lead delivery estimation and planning across work breakdown, resourcing, timelines, delivery model, and quality gates.
  • Commercial acumen: Good understanding of SOW constructs, milestones, governance, and input to pricing/commercials (with appropriate internal support).
• Client Advisory:
  • Acts as trusted advisor by bringing strong consulting capabilities, and proven delivery methodologies to influence decision-making through executive communication and structured recommendations.
• Program Leadership:
  • Own multi-workstream delivery governance across sites; manage stakeholders, vendors and distributed teams.
• MES / eBR Leadership:
  • Drive paperless manufacturing—requirements and solution design across eBR/eMBR, recipe/batch execution, materials & genealogy, weigh & dispense, and exceptions handling.
• LIMS / QC Digitization:
  • Lead lab transformation—sample lifecycle, test workflows, stability, reporting/COA—and standardize QC processes and data models.
• Digital Quality (eQMS/QMS):
  • Lead deviations, CAPA, change control, audits, training, document control and supplier quality digitization with audit-ready workflows.
• IT/OT & Data Architecture:
  • Define integration blueprints across MES, ERP, LIMS, QMS, Historian, and SCADA, with contextualized data architecture for end-to-end traceability.
• AI Enablement:
  • Identify and lead AI/advanced analytics use cases (deviation insights, drift detection/predictive quality signals, process optimization, reliability analytics) with governance, traceability and controlled rollout.

Qualifications

• 10–14 years in Pharma/Life Sciences manufacturing digitalization with consulting delivery leadership.
• Bachelor’s/master’s in engineering/technology/industrial/Pharma/Chemical or related fields.
• MBA or an equivalent qualification from a top tier/reputed institute.
• Strong experience across at least two of MES/eBR, LIMS, or eQMS/QMS, with integration/data platform exposure; Pharma MES experience (Werum PAS-X, PharmaSuite, Opcenter Pharma) is a plus.
• Experience of managing discussions with clients, CXO level engagements, advisory roles.
• Exposure to ISA-95/ISA-88, MESA standards, manufacturing data contextualization, IIoT/historian integrations.
• Experience with cloud data platforms, MLOps concepts, and model monitoring/governance in regulated settings.
• Agile delivery (Scrum/SAFe), Lean/Six Sigma; alliance/vendor ecosystem experience; building demos/POVs.
• AI enablement experience: delivered/led 1–2 analytics/AI initiatives (PoC/MVP/scale) in manufacturing/quality contexts.

Benefits

• We recognize the significance of flexible work arrangements to provide support.
• Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.