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# Sr. Specialist, Quality Data Analytics

- **Company:** Colgate Palmolive
- **Location:** Topeka, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Laboratory Information Management Systems, SAP (Applications), SAP NetWeaver Data Management, Data Streaming, Systems Integration, Information Technology, Data Analytics, Data Management
- **Published:** August 21, 2026
- **Apply:** https://www.kansasworks.com/jobs/13645605

## About the Role

+ Bachelor's Degree in Science, Technology, Engineering, Math, Computer Science or any othe

## Description

The Sr. Specialist for Quality Data Analytics maintains master data integrity within the ERP system for ingredient and finished product specifications while building AI-enabled early-warning systems to detect process anomalies. You will design well-documented data models that integrate ERP and laboratory information systems to trigger risk-mitigating actions across cross-functional teams. This role is vital for bridging technical datasets with operational excellence, providing automated dashboards and insights that ensure manufacturing-ready formulations and robust production monitoring.

Responsibilities

 + SAP Data Governance: Maintains master data integrity for ingredient and finished product specifications (PDM & HUP) and leads the extraction and cleaning of quality data from SAP S4/ECC tables.

 + Manufacturing Intelligence: Develops AI-enabled early-warning systems to identify process anomalies, leveraging automated alerts to lead cross-functional teams in implementing timely risk-mitigating actions.

 + Data Engineering: Designs and aggregates complex manufacturing datasets from ERP and laboratory information systems into documented, actionable data models for the Quality organization.

 + Cross-Functional Integration: Partners with Product Development, Procurement, and Analytical Services to ensure seamless nutrient data flow and provides insights to optimize product formulations for manufacturing consistency.

 + Reporting & Visualization: Builds automated dashboards to communicate technical SAP-derived trends and analytical findings to plant leadership and non-technical stakeholders to drive a culture of data-informed excellence.


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