Smart Manufacturing – Solution Architect

Minor Hotels Europe and Americas

Solution Architect leading transformation initiatives in pharma manufacturing at Capgemini Invent. Focused on digitalization, consulting delivery, and AI enablement in a global context.

Posted 6/20/2026full-timeKolkata • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

CloudERP

About the role

Key responsibilities & impact

Lead discovery workshops to shape problem statements, value cases, target architecture, and transformation roadmaps for pharma manufacturing
Own proposal response strategy, solutioning, estimation, delivery approach, risk assumptions, pricing inputs, and development of reusable POVs/demos
Lead delivery estimation and planning across work breakdown, resourcing, timelines, delivery model, and quality gates
Act as trusted advisor by bringing strong consulting capabilities, and proven delivery methodologies to influence decision-making through executive communication and structured recommendations
Own multi-workstream delivery governance across sites; manage stakeholders, vendors, and distributed teams
Drive paperless manufacturing—requirements and solution design across eBR/eMBR, recipe/batch execution, materials & genealogy, weigh & dispense, and exceptions handling
Lead lab transformation—sample lifecycle, test workflows, stability, reporting/COA—and standardize QC processes and data models
Lead deviations, CAPA, change control, audits, training, document control, and supplier quality digitization with audit-ready workflows
Define integration blueprints across MES, ERP, LIMS, QMS, Historian, and SCADA, with contextualized data architecture for end-to-end traceability
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

Requirements

What you’ll need

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
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

Comp & perks

flexible work arrangements
career growth programs
valuable certifications in latest technologies

ATS Keywords

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Hard Skills & Tools

digitalizationdelivery methodologiesrequirements designsolution designdata architectureAI analyticscloud data platformsMLOpsLeanSix Sigma

Soft Skills

consulting capabilitiesexecutive communicationstakeholder managementteam managementdecision-making influenceadvisory skillsproblem-solvingplanningrisk managementgovernance

Certifications

MBAengineering degreetechnology degreeindustrial degreePharma degreeChemical degree