Senior Manager Data Digitalization Architecture

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Lead the translation of Lears 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 Lears 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.