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Product Data Steward & Data Analyst, Mid-Level
jobright.com, Milwaukee, Wisconsin, United States, 53244
Product Data Steward & Data Analyst, Mid-Level
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Product Data Steward & Data Analyst, Mid-Level
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Jobright.ai Product Data Steward & Data Analyst, Mid-Level
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Product Data Steward & Data Analyst, Mid-Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 datafrom item creation and engineering release through phase-outensuring 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 PowerBI 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: Bachelors 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 PowerBI 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 teamscapable of translating product data requirements into actionable deliverables. Ability to manage data projects with multiple stakeholders across engineering, procurement, and operations. Preferred: 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. Company: Regal Rexnord is a manufacturer of airflow, motion control, and power transmission for commercial, industrial and residential settings. Founded in 1955, the company is headquartered in Beloit, Wisconsin, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Product Management Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Join to apply for the
Product Data Steward & Data Analyst, Mid-Level
role at
Jobright.ai Product Data Steward & Data Analyst, Mid-Level
2 days ago Be among the first 25 applicants Join to apply for the
Product Data Steward & Data Analyst, Mid-Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 datafrom item creation and engineering release through phase-outensuring 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 PowerBI 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: Bachelors 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 PowerBI 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 teamscapable of translating product data requirements into actionable deliverables. Ability to manage data projects with multiple stakeholders across engineering, procurement, and operations. Preferred: 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. Company: Regal Rexnord is a manufacturer of airflow, motion control, and power transmission for commercial, industrial and residential settings. Founded in 1955, the company is headquartered in Beloit, Wisconsin, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Product Management Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for Data Steward roles.
Menomonee Falls, WI $24.00-$26.00 6 days ago Transplant Data Analytics Coordinator, FH - TRANSPLANTATION ADMIN
Adjunct Instructor of Business - Data Analytics in Practice
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr