Role - Lead consultant Smart Manufacturing-Pharma

Location: PAN India

We are looking for a Lead Consultant – Smart Manufacturing with strong Pharma &

- Life Sciences experience to lead digital transformation across Manufacturing, Quality, and QC Labs. The role follows a sell–deliver–sell model, spanning opportunity shaping, proposal development, delivery across MES/e BR, LIMS, QMS, IT/OT, and AI, and expansion through value realization. The candidate should have proven experience delivering programs in regulated Gx P environments, with strong understanding of compliance, data integrity, validation, audit readiness, and electronic records/signatures requirements.

Key Responsibilities and expectations (must have)

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 : Valuable understanding of SOW constructs, milestones, governance, and input to pricing/commercials (with appropriate internal support).

Client Advisory : Act 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 / e BR Leadership : Drive paperless manufacturing—requirements and solution design across e BR/e MBR,



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 (e QMS/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.

Required Experience &

- 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/e BR, LIMS, or e QMS/QMS, with integration/data platform exposure

- Pharma MES experience (Werum PAS-X, Pharma Suite, Opcenter Pharma) is a plus

Experience of managing discussions with clients, CXO level engagements, advisory roles.

Preferred / Nice to Have

Exposure to ISA-95/ISA-88, MESA standards, manufacturing data contextualization, IIo T/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 (Po C/MVP/scale) in manufacturing/quality contexts.

Work Model Hybrid with site travel during key phases (workshops/go-live/hypercare); travel typically 10–40%.

📌 Lead Consultant Smart Manufacturing Pharma (Gurugram)
🏢 Capgemini Invent
📍 Gurugram