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Manufacturing Process Consultant

  • ... Posted on: Mar 12, 2026
  • ... RapidBrains
  • ... Noida, Uttar Pradesh
  • ... Salary: Not Available
  • ... Full-time

Manufacturing Process Consultant   

Job Title :

Manufacturing Process Consultant

Job Type :

Full-time

Job Location :

Noida Uttar Pradesh United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Manufacturing Process ConsultantEngagement Type: ContractExperience: 8+ yearsLocation: NoidaWe are seeking an experienced Manufacturing Process Consultant to support an AI-led modernization initiative for the Product Change Management process within a large global manufacturing organization.The consultant will collaborate with engineering, manufacturing, supply chain, and quality teams to analyze and document the current Product Change Order (PCO) workflow and translate it into structured process logic that can be optimized through AI and automation.This role will act as a bridge between manufacturing domain experts and the AI engineering team, converting operational knowledge and undocumented processes into clear, system-ready workflows that support intelligent automation initiatives.The ideal candidate brings hands-on experience in Engineering Change Management (PCO / ECN / ECR) within manufacturing environments, along with strong capabilities in process discovery, stakeholder engagement, and workflow documentation.Key ResponsibilitiesProcess Discovery & Stakeholder EngagementConduct structured interviews and workshops with cross-functional teams including:Product EngineeringManufacturing EngineeringSupply ChainQualityProduct ManagementDocument ControlCapture tacit knowledge and undocumented workflows governing the engineering change management process.Process Mapping & DocumentationMap the end-to-end product change lifecycle, including:Change request initiationEngineering validationBOM updatesSupplier coordinationProduction validationFinal releaseDocument variations across different types of change orders and approval workflows.Systems & Workflow UnderstandingAnalyze interactions between the change management process and enterprise systems such as:ERP platforms (SAP preferred)PLM systemsDocument management platformsIdentify data dependencies, information flows, and system touchpoints.Collaboration with AI & Engineering TeamsTranslate manufacturing workflows into structured inputs for AI engineering teams.Support identification of automation opportunities such as:Change request classificationDocument comparisonBOM validationRisk identification and impact analysis.Process Improvement InsightsIdentify bottlenecks, inefficiencies, and manual dependencies in the current process.Recommend opportunities for automation, standardization, and decision-support improvements.Required Experience8–10 years of experience in:Manufacturing operationsIndustrial engineeringProduct lifecycle managementStrong understanding of engineering change management processes, including:Product Change Orders (PCO)Engineering Change Requests (ECR)Engineering Change Notices (ECN)Experience working with cross-functional manufacturing teams.Familiarity with manufacturing enterprise systems:ERP platforms (SAP preferred)PLM systems (Teamcenter, Windchill, Enovia, or similar)Document management systemsExperience conducting process discovery workshops and stakeholder interviews.Strong documentation, requirements gathering, and process mapping skills.Preferred QualificationsExperience supporting Product Lifecycle Management (PLM) implementations.Background in Industrial Engineering or Operations Excellence.Exposure to Lean Manufacturing or Six Sigma methodologies.Experience supporting digital transformation initiatives in manufacturing.Understanding of:Bill of Materials (BOM) structuresRouting and production workflowsManufacturing data flows.Engagement ModelContract / consulting roleEmbedded with the delivery and AI engineering teamsCustomer-facing role working directly with engineering and operations stakeholdersFocus on process discovery, workflow documentation, and solution design inputs.Expected OutcomesRapidly understand complex engineering change management processesConvert undocumented operational knowledge into structured workflowsIdentify AI-driven automation opportunitiesSupport development of a realistic process modernization roadmap

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Jobcon Logo Position Details

Posted:

Mar 12, 2026

Reference Number:

15820_4383510857

Employment:

Full-time

Salary:

Not Available

City:

Noida

Job Origin:

APPCAST_CPC

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Job Title: Manufacturing Process ConsultantEngagement Type: ContractExperience: 8+ yearsLocation: NoidaWe are seeking an experienced Manufacturing Process Consultant to support an AI-led modernization initiative for the Product Change Management process within a large global manufacturing organization.The consultant will collaborate with engineering, manufacturing, supply chain, and quality teams to analyze and document the current Product Change Order (PCO) workflow and translate it into structured process logic that can be optimized through AI and automation.This role will act as a bridge between manufacturing domain experts and the AI engineering team, converting operational knowledge and undocumented processes into clear, system-ready workflows that support intelligent automation initiatives.The ideal candidate brings hands-on experience in Engineering Change Management (PCO / ECN / ECR) within manufacturing environments, along with strong capabilities in process discovery, stakeholder engagement, and workflow documentation.Key ResponsibilitiesProcess Discovery & Stakeholder EngagementConduct structured interviews and workshops with cross-functional teams including:Product EngineeringManufacturing EngineeringSupply ChainQualityProduct ManagementDocument ControlCapture tacit knowledge and undocumented workflows governing the engineering change management process.Process Mapping & DocumentationMap the end-to-end product change lifecycle, including:Change request initiationEngineering validationBOM updatesSupplier coordinationProduction validationFinal releaseDocument variations across different types of change orders and approval workflows.Systems & Workflow UnderstandingAnalyze interactions between the change management process and enterprise systems such as:ERP platforms (SAP preferred)PLM systemsDocument management platformsIdentify data dependencies, information flows, and system touchpoints.Collaboration with AI & Engineering TeamsTranslate manufacturing workflows into structured inputs for AI engineering teams.Support identification of automation opportunities such as:Change request classificationDocument comparisonBOM validationRisk identification and impact analysis.Process Improvement InsightsIdentify bottlenecks, inefficiencies, and manual dependencies in the current process.Recommend opportunities for automation, standardization, and decision-support improvements.Required Experience8–10 years of experience in:Manufacturing operationsIndustrial engineeringProduct lifecycle managementStrong understanding of engineering change management processes, including:Product Change Orders (PCO)Engineering Change Requests (ECR)Engineering Change Notices (ECN)Experience working with cross-functional manufacturing teams.Familiarity with manufacturing enterprise systems:ERP platforms (SAP preferred)PLM systems (Teamcenter, Windchill, Enovia, or similar)Document management systemsExperience conducting process discovery workshops and stakeholder interviews.Strong documentation, requirements gathering, and process mapping skills.Preferred QualificationsExperience supporting Product Lifecycle Management (PLM) implementations.Background in Industrial Engineering or Operations Excellence.Exposure to Lean Manufacturing or Six Sigma methodologies.Experience supporting digital transformation initiatives in manufacturing.Understanding of:Bill of Materials (BOM) structuresRouting and production workflowsManufacturing data flows.Engagement ModelContract / consulting roleEmbedded with the delivery and AI engineering teamsCustomer-facing role working directly with engineering and operations stakeholdersFocus on process discovery, workflow documentation, and solution design inputs.Expected OutcomesRapidly understand complex engineering change management processesConvert undocumented operational knowledge into structured workflowsIdentify AI-driven automation opportunitiesSupport development of a realistic process modernization roadmap

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