Data Digitalization Architect for Global Ontology & Governance

LEAR CORPORATION; Southfield (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Lear Corporation in Southfield, MI seeks a Senior Manager to drive Data & Digitalization Architecture, translating source-system data into governedFoundry/Palantir models. You will partner with ERP owners, FDEs, Ontologists, IT, and Data Governance to map inputs from SAP, QAD, MES, and finance into global reusable domain objects and data products.

You will define data grain, lineage, security classifications, and governance rules, ensuring build-ready mappings across Procurement, Supply Chain,

Qualifications

• Strong business process knowledge across procurement, supply chain, manufacturing and finance.
• Experience interpreting ERP/source-system data structures and field meaning.
• Ability to translate between business SMEs, technical data teams, ontology/modeling teams and stakeholders.
• Understanding of data domains, lineage, metadata, and master/golden records.
• Working knowledge of data governance and security controls.

Responsibilities

• Lead source-to-ontology mapping and preserve global reusable domain models.
• Document source tables, fields, structures, and update cadence with ERP owners.
• Define data grain, refresh cadence, lineage, and data quality criteria.
• Collaborate with Ontology Owner/Ontologist to avoid duplicate object types.
• Define field security classifications and access requirements.
• Support MVP/POC reviews ensuring mapping readiness for production.

Skills

Procurement knowledge

ERP data interpretation

Business-translation

Data governance

Security/RBAC

Job description

Lear Corporation in Southfield, MI seeks a Senior Manager to drive Data & Digitalization Architecture, translating source-system data into governedFoundry/Palantir models. You will partner with ERP owners, FDEs, Ontologists, IT, and Data Governance to map inputs from SAP, QAD, MES, and finance into global reusable domain objects and data products.

You will define data grain, lineage, security classifications, and governance rules, ensuring build-ready mappings across Procurement, Supply Chain,