Product Data Steward & Data Analyst, Mid-Level

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Job Summary:

Regal Rexnord is a publicly held global industrial manufacturer that provides sustainable solutions for motion control. The Product Data Steward & Data Analyst role is responsible for ensuring the accuracy and integrity of product master data across the manufacturing value chain, collaborating with IT and business stakeholders to maintain high-quality data supporting various operational processes.

Responsibilities:

• Define and enforce data standards for product hierarchies, material types, units of measure, commodity codes, and engineering attributes.

• Oversee end-to-end product lifecycle data—from item creation and engineering release through phase-out—ensuring alignment with engineering change control processes.

• Ensure data synchronization between ERP (e.g., SAP ECC, Oracle EBS), MDM platforms (e.g., Informatica), and PIM systems for consistent global product definitions.

• Develop and maintain dashboards and scorecards for product data quality metrics such as completeness, accuracy, uniqueness, and timeliness.

• Monitor data anomalies related to duplicate parts, incorrect UoM conversions, and invalid BOM relationships; work with business owners to resolve root causes.

• Coordinate with business and IT teams to support periodic data cleansing and enrichment projects.

• Support integration of product data between PLM systems (e.g., Teamcenter, Windchill), ERP, and MDM to ensure traceability of product attributes and compliance with internal standards.

• Document source-to-target mappings and transformation logic between engineering, manufacturing, and commercial datasets.

• Ensure readiness of product data for manufacturing execution systems (MES), sales configurators, and digital twin or IoT platforms.

• Work with data engineers and architects to model and transform product datasets in Snowflake or other cloud platforms for reporting and analytics use cases.

• Define technical specifications for data ingestion pipelines (e.g., Fivetran, Informatica), transformation logic (dbt), and API payloads for consumption by internal systems.

• Partner with BI teams to deliver insights on product mix, usage patterns, and component rationalization using tools like Power

BI and Tableau.

• Act as the SME for product data across manufacturing operations, sourcing, and engineering teams.

• Lead workshops with plant engineers, product managers, and supply chain teams to validate product attributes, packaging data, and BOM configurations.

• Champion automation, standardization, and reuse of product data elements to drive efficiency and cost reduction across the enterprise.

Qualifications:

Required:

• Bachelor’s degree in Engineering, Industrial Technology, Supply Chain, or Information Systems.

• 5+ years of experience in product data stewardship, data analysis, or master data management within a manufacturing environment.

• Strong working knowledge of ERP systems (SAP ECC, Oracle EBS) with hands-on experience in material master, BOMs, routings, and classification views.

• Proficient in SQL and Excel; experience with data visualization tools such as Power

BI or Tableau.

• Familiarity with MDM tools (e.g., Informatica MDM), PIM solutions, and product lifecycle systems (e.g., PLM).

• Understanding of integration technologies, including REST/SOAP APIs, JSON payloads, and ETL tools (e.g., Informatica, Fivetran, dbt).

• Experience in documenting data flows, DFDs, and source-to-target mappings for engineering and commercial systems.

• Detail-oriented with strong data quality mindset and problem-solving abilities.

• Effective communicator across technical and business…