Senior Manager - Data Digitalization Architecture

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Lead the translation of Lear's source-system data into governed, reusable Foundry / Palantir ontology objects, properties, links, actions, and data products. Partner with business process owners, ERP/source-system owners, Foundry FDEs, Ontologists, IT/Data Engineering, Data Governance, Security/RBAC, and project teams to ensure that data from QAD, SAP, Plex, AS400/BPICS, PLM/SEM, SRM, MES, finance, quality, and supplier-facing inputs is consistently mapped to global reusable business objects and properties. The Senior Manager of Data & Digitalization (Data Architecture) is a cross-functional business-data translation role responsible for creating build-ready source-to-ontology mapping specifications and ensuring that Lear's Foundry builds use global, reusable domain models rather than siloed project-specific data definitions. This role will work across Procurement, Supply Chain, Engineering, Quality, Finance, Manufacturing, IT, and Data Governance to interpret business process requirements, source-system field meaning, data grain, refresh cadence, lineage, data quality rules, security classification, and source-of-record precedence.

• Partner with BPOs and business SMEs to understand business processes, use cases, workflows, decision points, KPIs, and approval rules.
• Partner with ERP/source-system owners to document source tables, fields, structures, extracts, APIs, files, field behavior, known defects, and update cadence.
• Create and maintain source-to-ontology mapping specifications from source fields to Foundry global objects, properties, links, actions, and data products.
• Determine whether a data element should reuse an existing global object/property, create a new governed global property, become a derived property, or remain a local workflow-specific field.
• Document source-of-record, survivorship, and precedence rules when multiple sources provide different values for the same business property.
• Define data grain, refresh cadence, event triggers, transformation rules, lineage/provenance, data quality expectations, and UAT validation criteria.
• Work with the Ontology Owner/Ontologist to prevent duplicate object types and avoid source-table-driven object models or one to one uncurated source-column mappings.
• Define field/property-level security classifications including supplier-visible, internal-only, protected commercial, finance/legal restricted, and role-based access requirements.
• Support action/writeback design by identifying when supplier responses, buyer updates, exception closures, tooling classifications, or approvals require governed Foundry Actions rather than direct edits.
• Maintain a reusable enterprise mapping library by domain, including Supplier, Supplier Site, Plant/Site, Item/Part, BOM, Demand, Capacity, Tooling, PO, Receipt, Invoice, Contract, RFQ, Quality, Risk, and Workflow/Exception.
• Support MVP, POC, PCO, sprint, UAT, and go-live reviews by confirming that data meaning, mapping, reuse, security, and lineage are ready for production use.

• Strong business process knowledge in procurement, supply chain, sourcing, capacity planning, supplier management, BOM/product structure, launch readiness, manufacturing operations, quality, finance/commercial, or adjacent enterprise processes.
• Experience interpreting ERP/source-system data structures and field meaning. Preferred exposure includes QAD, SAP, Plex, AS400/BPICS, PLM/SEM, SRM, MES, supplier portals, finance, quality, or procurement platforms.
• Ability to translate between business SMEs, technical data teams, ontology/modeling teams, IT, ERP owners, and executive stakeholders.
• Understanding of data domains, objects, properties, relationships, data grain, lineage, metadata, data quality, source-of-record decisions, and master/golden record concepts.
• Working knowledge of data governance, data stewardship, security/RBAC, protected commercial data, supplier-facing access rules, and change control.
• Strong documentation skills: mapping matrices, data dictionaries, decision logs, process-to-data traceability, UAT scripts, and executive-ready summaries.

• Foundry / Palantir ontology, Pipeline Builder, Workshop, AIP, Action Types, or comparable enterprise data product / semantic model experience.

Lear Corporation is committed to fair, meritbased employment practices and equal opportunity.

We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.

Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.