{"id":3333566,"url":"https://alion.io/job/schneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data","title":"Data Modelling Lead —[Procurement / Planning & Logistics /Manufacturing] Data","company":{"id":1266,"name":"Schneider Electric","domain":"se.com","url":"https://alion.io/company/schneider-electric","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":77,"open_postings":370,"ghost_share":0,"stale_share":0.922,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Operations","role_family":"Operations","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"Master Data Management","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T12:45:33Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-03T02:40:40Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"THE ROLE IN CONTEXT\nWe are establishing a dedicated Data Modelling team inside GSC Data & Analytics to give our enterprise data a designed, governed structure - and to remove the single biggest constraint on our AI ambitions: data that is disconnected, inconsistently mastered and misaligned across systems.\nThis team is the connective tissue of the Data Backbone. In our strategy the Data Backbone is the bridge between today’s federated landscape and the clean, converged foundation that T.U.K (Titan · Unify · KunPeng) will deliver over the coming years. The bridge is what lets us run AI and autonomous planning now- by joining, organising and streamlining data across systems as they exist today, rather than waiting for convergence to finish.\nThat landscape is heterogeneous - SAP & Oracle ERPs,alongside best-of-breed platforms such as Kinaxis (planning) and Manhattan (logistics execution), procurement systems such as Prism and Coupa, and external data sources such as Z2. Bridging these - not just ERP-to-ERP - is the substance of the role.\nThe team is led by a Director, with three Data Modelling Leads owning distinct domain clusters. This role is one of those three Leads, accountable for the [Procurement/Planning & Logistics/Manufacturing] domain.\nWHAT THIS ROLE IS (AND IS NOT)\nYou own how [Procurement/Planning & Logistics/Manufacturing] data connects across systems. You understand how data in one system relates to data in another - despite non-standard master data, coverage gaps and structural differences - and you design the models and mappings that make it connectable, trustworthy and reusable. That mapping is held as an enterprise asset.\nThe boundary that defines this team: This team designs and owns the map - the logical and canonical models, the source-to-target mappings and the definitions - while GSC Data Engineering builds the pipelines and physical structures from those designs. You stay deep in the modelling craft, hands-on with real source data, rather than spread thin across pipeline build.\nWhere your work sits\nYou own, hands-on: conceptual and logical data models, canonical entity and KPI definitions, source-to-target mapping specifications, business-rule and quality-rule definitions, lineage and metadata documentation.\n You hand off and stay close: well-specified designs go to Data Engineering (including its Technical Data Architects) to build - and you review the build back against the model, staying involved in how it is realised.\nThese are designed as genuine partnerships, not tickets into a void: Data Engineering builds to your designs and reviews with you, and the GSC Data Office owns fixing the source-data issues you surface. Your ownership of the map carries real influence over what gets built and what gets cleaned.\nKEY RESPONSIBILITIES\nEnterprise Mapping & Canonical Modelling (the core of the role)\nDesign conceptual and logical data models for the [ Procurement/Planning & Logistics/Manufacturing] domain that reflect how the business actually operates.\nProduce source-to-target mappings across ERPs, best-of-breed platforms (e.g. Kinaxis, Manhattan, procurement systems) and external data sources (e.g. Z2), explicitly accounting for non-standard master data, coverage gaps and structural inconsistencies.\nDefine canonical entities, business rules &KPI definitions so the same concept means the same thing across squads.\nOwn the [Procurement/Planning & Logistics/Manufacturing] Map as an Enterprise Asset\nMaintain the mapping and models as a governed, versioned, reusable asset - not a one-off deliverable.\nKeep documentation, lineage and decision rationale transparent and traceable, so the map is trusted and auditable.\nDelivering to Demand, Within Projects\nExtend the enterprise map incrementally - object by object, area by area - predominantly in response to demand (AI use cases and business projects), rather than as a single big-bang build.\nDeliver your modelling within project constructs and squads to time-bound commitments, managing dependencies and priorities so modelling keeps pace with delivery.\nBalance this demand-driven delivery with the proactive, foundational modelling that no single project triggers - the work that stands up the backbone itself.\nBusiness Requirements, Backbone Coverage & Data Quality (with the GSC Data Office)\nTranslate [ Procurement/Planning & Logistics/Manufacturing] business requirements into the data needed to meet them - the essential link between what the business asks for and what the backbone must hold.\nDetermine whether that data already exists in the Data Backbone; where it does not, partner with the GSC Data Office to determine the authoritative data source and set it up. (The Data Office owns authoritative-source identification; this role connects it to the business need.)\nSurface and diagnose join-level data-quality issues - where and why data fails to connect across systems - so the Data Office and domains can remediate the underlying transactional source issues.\nDesign-Build Handoff with Data Engineering (clear RACI)\nTranslate your models into build-ready specifications and hand them to Data Engineering (including its Technical Data Architects), who build the physical structures and pipelines.\nReview engineered outputs against the design; own the “what and how-connected,” while Engineering owns the build.\nCross-System & Cross-Domain Harmonisation\nOwn [Procurement/Planning & Logistics/Manufacturing] deeply; harmonise definitions, business rules and master data at the seams with the other two domain Leads.\nAlign your domain to the enterprise standards set with the Director, so the three domain maps compose into one coherent backbone.\nStakeholder Alignment & Translation\nWork with business SMEs, the GSC Data Office, Data Engineering (including Technical Data Architects) and the BI & AI teams to capture requirements, align definitions and validate models.\nAct as the translator between business meaning and canonical data structure - simplifying complex technical concepts for non-technical partners.\nStandards, Tooling & Thought Leadership\nSet modelling standards, templates, metadata standards and lineage practices for the [ Procurement/Planning & Logistics/Manufacturing] domain.\nLead disciplined use of enterprise modelling tools (Erwin, ER/Studio, PowerDesigner) as a working expert.\nEnable AI & Autonomous Planning\nEnsure models make [Procurement/Planning & Logistics/Manufacturing] data joinable and trustworthy enough for AI and autonomous-supply chainuse cases - data a machine can act on.\n As the backbone matures (forward-looking): design enterprise semantic models that support analytics and AI/ML - a growth area for the role rather than a day-one focus.\n Essential\n8-12+ years of hands-on data modelling experience, operating as a senior working expert.\nCross-system / integration / canonical modelling as your core strength - source-to-target mapping and bridging heterogeneous systems, not warehouse build alone.\n Deep understanding of how source systems structure data across a heterogeneous landscape - SAP ERPs plus best-of-breed and external systems (e.g. Kinaxis, Manhattan, procurement platforms, ERPs) \nMaster data / MDM literacy - comfortable designing around non-standard master data and coverage limitations.\nA partnering mindset on data quality and authoritative sources - able to translate business needs into backbone coverage and diagnose why data won’t join, working alongside the GSC Data Office.\nGrounding in relational, Kimball dimensional and Data Vault 2.0 modelling as foundations.\nStrong data governance instincts - metadata, lineage, definitions and standards.\nAdvantageous\nSQL fluency, and the ability to design for cloud data platforms (AWS, Databricks) and semantic layers - understanding and designing for these, rather than building them.\nExperience contributing to a data backbone, control tower or enterprise-integration programme.\nWays of Working\nStructured, detail-oriented, with a strong problem-solving mindset.\nA clear communicator who can simplify complex technical concepts for business and technical audiences alike.\nProven ability to operate in a global, matrixed organisation and harmonise across domains.\nWHY JOIN\nBuild the connective tissue of the Data Backbone - the bridge that lets GSC run AI and autonomous planning now, ahead of full T.U.K convergence.\nOwn an enterprise asset end to end: the map of how [Procurement/Planning & Logistics/Manufacturing] data connects across the supply chain.\nShape enterprise-wide modelling standards from the ground up in a newly formed, strategically-backed team - turning disconnected data into a foundation that machines can reason on.\n Rewards designed for you\nOur Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits-it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.\n* Country-specific programs and initiatives may be available.\n Looking to make an IMPACT with your career?\nWhen you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.\nIMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.\nWe are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.\nBecome an IMPACT Maker with Schneider Electric - apply today!\n€40 billion global revenue\n+9% organic growth\n150 000+ employees in 100+ countries\n\nYou must submit an online application to be considered for any position with us. This position will be posted until filled.\nSchneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. \nAt Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here\n\nSchneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.","description_format":"text","description_chars":11791,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Supply Chain","Industrial Automation","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-10-27T12:45:33Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.631,"p_room":1,"age_days":7,"expected_fill_days":35,"reasons":["conf:27","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/schneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data","json_url":"https://alion.io/job/schneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data.json","meta":{"generated_at":"2026-11-04T16:28:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25131,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1266},"rest":"https://alion.io/mcp/rest/get_company?id=1266"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fschneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fschneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fschneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/schneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fschneider-electric-data-modelling-lead-procurement-planning-logistics-manufacturing-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3333566}},{"tool":"search_jobs","arguments":{"company":"se.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3333566},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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