Sr. Executive-Data Steward engineer

Job Summary

We are looking for a Senior Data Steward / Governance Engineer to lead data governance, data quality and master data management for our Aftermarket Parts Services (AMPS) business. This role ensures high quality product, parts, service, pricing, inventory, and installed base data across ERP, PLM, CRM, IoT, eCommerce, and analytics platforms.

Key Responsibilities

• Define and enforce data governance policies, standards, taxonomies, and business rules.
• Maintain data dictionaries, metadata, and lineage across enterprise systems.
• Govern data domains: Product Master, Parts, Service BOMs, Supersession, Installed Base, Pricing, Inventory, Digital Assets.
• Monitor and improve data quality across SAP, QAD, Windchill, Salesforce, Databricks (Delta Lake, Unity Catalog).
• Support eCommerce data needs (PDP/PLP, fitment, pricing availability).
• Partner with Engineering, Supply Chain, Service, Digital, Data Engineering, and Integration teams (MuleSoft integration).
• Drive resolution of data issues impacting catalog, pricing, and operational accuracy.
• Support analytics and IoT/predictive maintenance through standardized, governed data.
• Utilize data governance tools and integrate with enterprise systems.
• Support data integration for diesel generators and predictive maintenance analytics.
• Continuous Improvement: Identify opportunities to automate data stewardship tasks.
• Drive initiatives for data maturity and governance adoption across the organization.

Preferred Skills

• Experience with eCommerce data, fitment/compatibility, and catalogue structures.
• Strong SQL skills and understanding of Databricks, Delta Lake, Unity Catalog
• Familiarity with SAP ECC, QAD, Windchill, and Salesforce data concepts.
• Experience in data governance, metadata management, and data quality frameworks.

Qualifications

• Bachelor's or master's degree in data management, Information Systems, Computer Science, or related field.
• 5+ years of experience in data governance, data stewardship, or master data management.
• Strong understanding of manufacturing and product lifecycle data, preferably in heavy equipment or power generation industry.
• Strong SQL, data modeling, and DQ framework skills.
• Experience with SAP ECC, QAD, Windchill, Salesforce, Databricks.
• Excellent communication and stakeholder management skills.

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.