Quality Data Analytics Lead — AI-Driven ERP Insights

Hill's Pet Nutrition; Topeka (KS); Presencial; USD 97 000 - 137 000; Tempo integral

Resumo da oferta

Colgate-Palmolive Company seeks a Sr. Specialist for Quality Data Analytics in Topeka, KS.

The role maintains master data in ERP, designs AI-enabled systems, and builds data models integrating SAP and lab information for manufacturing-ready formulations and robust production monitoring. Responsibilities include data governance, AI alerts, cross-functional data collaboration, and automated dashboards to inform plant leadership and drive data-informed excellence.

Qualificações

• Bachelor's degree in science, technology, engineering, math, computer science, or related field.
• 4+ years ERP data management or data analytics, or 2+ years with a Master's degree.
• Experience with data analytics and/or AI computing platforms.

Responsabilidades

• Maintains master data integrity for ingredient and finished product specs in SAP (PDM & HUP).
• Develops AI-enabled early-warning systems to identify process anomalies and drive risk-mitigating actions.
• Designs and aggregates manufacturing datasets from ERP and lab systems into actionable data models.
• Partners with Product Development, Procurement, and Analytical Services to optimize data flows for formulations.
• Builds automated dashboards to communicate trends and insights to leadership and non-technical stakeholders.

Conhecimentos

ERP Data Management

Data Analytics

AI computing platforms

Data-driven insights

Formação académica

Bachelor's degree in a related field

Master's degree (preferred) in Data Analytics or Data Engineering

Ferramentas

SAP S4/HANA (S4/ECC)

SAP PDM

SAP HUP

Descrição da oferta de emprego

Colgate-Palmolive Company seeks a Sr. Specialist for Quality Data Analytics in Topeka, KS.

The role maintains master data in ERP, designs AI-enabled systems, and builds data models integrating SAP and lab information for manufacturing-ready formulations and robust production monitoring. Responsibilities include data governance, AI alerts, cross-functional data collaboration, and automated dashboards to inform plant leadership and drive data-informed excellence.