Digital Manufacturing & Industrial AI

About Thoucentric:

Job Title: Senior FunctionalConsultant: Digital Manufacturing & Industrial AI

Job Overview: This rolerequires the individual to assist manufacturing clients in plant digitalizationand Industrial AI initiatives ranging from asset performance and reliabilityimprovement, operational excellence, and smart factory programs toimplementation of plant-facing software platforms (APM, MES, EAM/CMMS,Industrial AI/analytics) at a global scale.

He/she is responsible for frontending with client business stakeholders, translating operational requirementsinto functional designs, use-case definitions, and platform configurations.He/she will be working closely with data/AI and integration teams to delivermeasurable business value. He/she should have strong analytical skills and theability to collect, organize, analyze, and disseminate significant amounts ofinformation with attention to detail and accuracy. He/she would work withcross-functional teams and business leads to ensure quality of deliverables,manage risks or escalations, and seek support on roadblocks.

Job Description:

•         Independently own end-to-end functional delivery ofdigital manufacturing / Industrial AI workstreams from use-case discovery andrequirement gathering through solution design, platform configuration,validation, go-live, and adoption

•         Prepare functional specifications, use-casedefinitions, asset hierarchies, and configuration workbooks; perform hands-onfunctional configuration of APM and Industrial AI platforms with strongknowledge of MES/EAM/CMMS systems

•         Proficiency in mapping and analysing clients’end-to-end manufacturing and asset lifecycle processes to contextualizeplant-level pain points within broader operational and supply chain frameworks

•         Demonstrate ability to liaison between businessstakeholders and data science/engineering / IT-OT teams throughout the projectlifecycle, including definition of data requirements and integrationtouchpoints with historians, SCADA, MES, EAM/CMMS, and ERP systems

•         Validate AI/analytics outputs with business users, eadfunctional testing, model output validation from a domain lens, UAT, andbusiness sign-off prior to deployment

•         Align with key stakeholders (Plant Operations Leads,Reliability & Maintenance Leads, Business Leads, Delivery Leads, andothers) on solution decisions, deployment plans, and adoption readiness

•         Support change management activities to prepare theclient for deployment and adoption (super-user training, SOP and workflowupdates, operating model and organizational alignment, communications)

Must have:

•         6–8 years of progressive industry and/or consultingexperience in Manufacturing, Industrial/Consumer Goods, FMCG, F&B,Chemicals/Process, Energy, or Automotive, with a primary focus on manufacturingoperations, reliability/maintenance, or plant digitalization

•         Extensive hands-on functional experience (at least4–5 years) in implementation or improvement engagements of plant-facingsoftware for Fortune 500 companies: APM/predictive maintenance, MES/MOM,EAM/CMMS, or industrial analytics platforms including at least two full-cycledeployments in a functional consultant/lead capacity

•         Working and hands-on knowledge of best-in-class plantsystems and platforms e.g. SAP PM/EAM, Maximo, GE APM, AVEVA, Siemens Opcenter,or equivalent Industrial AI/APM platforms along with working knowledge of ERPmaintenance and production flows

•         Deep domain understanding of manufacturing and assetmanagement fundamentals, asset hierarchies and criticality, failure modes(FMEA/RCM), maintenance strategies and workflows, OEE and loss analysis,production planning and shop-floor execution

•         Strong negotiation skills, good interpersonal skills,and ability to work in a cross-functional global organization, engagingconfidently with US / European clients

•         Strong stakeholder management skills & the abilityto work with remote teams

•         Experience in analyzing clients’ processes andoperational/plant data to identify opportunities, develop insights, and preparea business case and value tracking approach to deliver transformationalprojects within the manufacturing area

Good to have:

•         Certification such as CMRP, CRL, CSCP/CPIM, or SixSigma / Lean Manufacturing credentials is a plus

•         Exposure to plant data landscapes historians (e.g.OSIsoft PI, Aspen IP.21), SCADA/OT data, IIoT platforms and to Industry 4.0 /smart factory programs

•         Working literacy in SQL/Python for data validation (notmodel development) and familiarity with data visualization tools (Power BI orsimilar); exposure to AI/ML and agentic AI-enabled manufacturing use cases isan added advantage

Educational Qualifications:

Strong educational backgroundfrom reputed engineering and management schools

Requirements