Senior Consultant Cognitive Manufacturing,

• Support Cognitive Manufacturing engagements that connect process data systems AI use cases operating model changes and measurable value realization.
• Analyze end-to-end manufacturing value-chain areas including New Product Introduction product industrialization parts reuse BOM synchronization production planning shop floor execution quality maintenance supplier collaboration logistics and service feedback loops.
• Translate business pain points into digital thread manufacturing data foundation AI/ML GenAI analytics automation and human-in-the-loop decision intelligence opportunities.
• Support the development of value cases tied to throughput OEE first-pass yield scrap reduction downtime engineering productivity inventory working capital launch performance and service quality.

• Lead defined workstreams at Manufacturing clients to address pressing industry issues related to updating and transforming manufacturing facilities and value chains with new technologies that increase throughput improve quality lower cost of operations improve sustainability and enhance resilience.
• Analyze and improve processes across customer experience R&D NPI product industrialization parts reuse engineering change end-to-end supply chain manufacturing distribution quality maintenance service sales HR finance and their enabling technologies.
• Facilitate stakeholder interviews current-state assessments process walkthroughs design workshops and future-state working sessions across business engineering manufacturing quality supply chain IT OT and service teams.
• Document current-state processes root causes pain points data flows business rules system dependencies manual workarounds and value leakage across the manufacturing value chain.
• Develop future-state process concepts and capability maps that connect NPI engineering change parts reuse EBOM-MBOM-SBOM alignment process planning production execution quality maintenance logistics and service feedback.
• Identify and prioritize AI-enabled use cases such as predictive quality predictive maintenance AI-assisted scheduling part similarity search duplicate part detection BOM comparison engineering change impact analysis operator assistance and manufacturing performance intelligence.
• Translate business needs into requirements user stories data needs capability definitions and solution considerations for consulting technology data AI PLM MES ERP QMS and IIoT teams.
• Develop business case inputs benefit hypotheses KPI frameworks and roadmap recommendations that link Cognitive Manufacturing capabilities to measurable operational and financial outcomes.
• Build client relationships specific to the engagement and seek client input in a structured manner to better understand needs and develop practical solutions.
• Collaborate with other streams including technology delivery teams across Infosys to deliver a compelling value proposition and align consulting recommendations with feasible implementation pathways.
• Provide leadership and mentor junior consultants and analysts in the engagement team by reviewing analysis shaping deliverables and supporting professional development.
• Publish thought leadership and insights on manufacturing industry trends cognitive manufacturing AI in manufacturing digital thread smart factory and related challenges and opportunities.
• Support business development activities assist in presales and sales processes and develop market-relevant points of view to generate and sustain presence in the marketplace.

• NPI and Product Industrialization: New Product Introduction design-to-manufacturing readiness prototype-to-production ramp-up APQP PPAP launch readiness and manufacturing feasibility.
• Parts Reuse and Product Complexity Management: preferred parts governance part standardization design reuse commonality analysis duplicate part detection supplier and material rationalization and product platform leverage.
• Digital Thread and BOM Synchronization: EBOM MBOM SBOM BOP routing work instructions engineering change impact analysis and PLM-MES-ERP-QMS integration.
• Planning and Factory Execution: demand-to-supply alignment production planning finite scheduling line balancing dispatching work order execution operator enablement and OEE improvement.
• Quality Compliance and Traceability: incoming quality in-process quality final quality nonconformance CAPA genealogy audit readiness and closed-loop quality feedback.
• Maintenance and Asset Performance: preventive maintenance predictive maintenance asset health reliability spare parts planning and technician enablement.
• Supplier Warehouse and Logistics Intelligence: supplier quality inbound logistics inventory kitting line-side replenishment warehouse execution and disruption sensing.
• Service Feedback and Closed-Loop Improvement: service BOM warranty analytics installed base insights field failure feedback and product improvement recommendations.

• Own day-to-day delivery of assigned workstreams including workplans meeting preparation stakeholder coordination deliverable development and issue resolution.
• Apply structured problem solving to analyze and deconstruct complex manufacturing challenges develop insights identify solutions and design future states.
• Use process-to-data-to-value mapping to connect operational pain points with data requirements AI opportunities system implications change impacts and business outcomes.
• Prepare client-ready deliverables including assessment findings process maps future-state designs business requirements use-case catalogs maturity assessments roadmaps workshop readouts and executive presentations.
• Maintain high-quality client-ready communication through clear writing structured presentations confident facilitation and effective relationship management.

• Support proposal development by contributing workplan assumptions role descriptions delivery approach case examples solution narratives and value propositions.
• Contribute to Cognitive Manufacturing thought leadership including points of view use-case catalogs maturity models assessment tools workshop materials and reusable delivery templates.
• Stay current on trends in Industry 4.0 AI/ML GenAI smart factory digital thread PLM MES ERP QMS IIoT edge cloud and manufacturing analytics.
• Help identify follow-on opportunities by recognizing client pain points unmet needs and areas where Cognitive Manufacturing capabilities can create measurable value.

• Bachelors degree or foreign equivalent required.
• Minimum 5 years of relevant experience in manufacturing supply chain operations engineering quality technology consulting or business transformation.
• Minimum 3 years of management consulting business analysis transformation delivery or client-facing project experience at a consulting firm professional services firm or manufacturing company.
• Minimum 5 years of experience working with Manufacturing sector companies as a direct employee or consultant.
• Knowledgeable in key areas of manufacturing operations including discrete continuous batch make-to-stock make-to-order and engineer-to-order manufacturing models.
• Knowledgeable in manufacturing processes technologies quality supply chain distribution sales and enabling technologies.
• Understanding of one or more manufacturing domain areas such as NPI parts reuse BOM management process planning production execution quality maintenance supplier collaboration warehouse logistics or service.
• Knowledgeable in manufacturing industry trends such as Industry 4.0 digitization AI/ML GenAI cloud IoT smart factory digital thread and manufacturing analytics.
• Experience as a Business Analyst or workstream lead on large transformation programs.
• Experience in process improvement in business operations including analysis of current state root cause analysis insight development solution identification and future-state design.
• Demonstrated knowledge and experience in requirements elicitation analysis and documentation.
• Proven ability to lead projects build strong and effective business relationships and collaborate with business and technology stakeholders.
• Ability to facilitate discussions analyze and deconstruct problems develop structured solutions and categorize challenges in a project environment.
• Highly motivated with strong analytical acumen structured problem-solving skills and attention to quality.
• Excellent communication and presentation skills both written and verbal.
• Ability to travel extensively based on client requirements.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• For candidates based out of CA WA NY IL MNNJ states estimated annual compensation will be $ 116875 to $ $148125
  

• MBA or equivalent advanced degree.
• 35 years of experience working directly for a manufacturing company or with a professional services firm serving manufacturing clients.
• Experience as a business analyst workstream lead or transformation consultant is desirable.
• Good depth of knowledge in one or more manufacturing domain areas such as production planning production operations supply chain quality sourcing distribution NPI product industrialization parts reuse BOM management maintenance or service.
• Experience supporting or delivering digital thread smart factory manufacturing strategy supply chain transformation quality transformation asset performance connected operations or AI-enabled manufacturing programs.
• Working knowledge of PLM MES ERP QMS APS IIoT historian data lake analytics manufacturing intelligence or cloud platforms.
• Working knowledge of EBOM MBOM SBOM BOP routing work instructions APQP PPAP engineering change management product configuration or service lifecycle processes.
• Exposure to AI/ML GenAI predictive analytics optimization copilots intelligent automation or manufacturing decision intelligence use cases.
• Experience building business cases KPI frameworks benefits models maturity assessments transformation roadmaps or value realization plans.
• Experience leading or supporting programs where stakeholder engagement is a key requisite to achieving successful program or project delivery.
• Proven ability to deliver under tight deadlines and challenging constraints.
• Experience executing programs using Agile methodologies.
• Lean Six Sigma APICS PMP Agile product management data analytics or cloud certification is desirable.
• Ability to collaborate within the firm and leverage existing resources across consulting technology data AI and industry teams.
• Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary.

Benefits

Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident Critical Illness Hospital Indemnity Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.

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