Quality Data Analytics Specialist – AI-Driven Manufacturing

Colgate; Topeka (KS); Hybrid; USD 97,000 - 137,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Vacation days

Paid holidays

Sick leave

Job summary

Colgate-Palmolive's Hill's Pet Nutrition unit is seeking a Sr. Specialist, Quality Data Analytics in Topeka, KS. This role maintains ERP master data for ingredients and finished products, and designs AI-enabled dashboards to support manufacturing-ready formulations and robust production monitoring.

You will lead data governance, develop actionable data-driven strategies, and collaborate with cross-functional teams including Product Development and Procurement to optimize quality and supply.

Qualifications

• A Bachelor’s Degree in Science, Technology, Engineering, Math, CS or related field.
• 4+ years of experience in ERP Data Management or Data Analytics; or 2+ years with a Master’s degree.
• Experience building or working with data analytics and/or AI computing platforms.
• Ability to develop actionable strategies from data-driven trends and quality issues.

Responsibilities

• Maintains master data integrity for ingredient and finished product specifications in ERP systems.
• Develops AI-enabled early-warning systems to identify process anomalies and leads cross-functional risk-mitigation actions.
• Designs and aggregates complex manufacturing datasets into documented data models for Quality.
• Partners with Product Development, Procurement, and Analytical Services to ensure seamless nutrient data flow.
• Builds automated dashboards to communicate SAP-derived trends to leadership and non-technical stakeholders.

Skills

ERP Data Management

Data Analytics

AI computing platforms

Data modeling

Education

Bachelor's degree in science/engineering/computer science

Tools

SAP PDM

SAP HUP

Job description

Colgate-Palmolive's Hill's Pet Nutrition unit is seeking a Sr. Specialist, Quality Data Analytics in Topeka, KS. This role maintains ERP master data for ingredients and finished products, and designs AI-enabled dashboards to support manufacturing-ready formulations and robust production monitoring.

You will lead data governance, develop actionable data-driven strategies, and collaborate with cross-functional teams including Product Development and Procurement to optimize quality and supply.