Senior SAP Data Analytics for AI-Driven Quality

Colgate

Topeka (KS)

Hybrid

USD 97,000 - 137,000

Full time

14 days+

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Benefits offered by this job

401(k) matching
Medical benefits
Paid vacation days

Job summary

Colgate-Palmolive’s Hill’s Pet Nutrition division in Topeka, KS, is seeking a Sr. Specialist, Quality Data Analytics to maintain master data integrity in ERP systems and design AI-enabled dashboards for early detection of process anomalies.

The role supports cross-functional teams to ensure accurate ingredient and finished product data and robust production monitoring. Ideal candidates have a STEM degree and 4+ years in ERP/Data Analytics, with experience in SAP S4/ECC and data-driven quality

Qualifications

  • Bachelor’s Degree in Science, Technology, Engineering, Math, Computer Science 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 within data analytics and/or AI computing platforms.

Responsibilities

  • Maintains master data integrity for ingredient and finished product specifications in SAP and leads data extraction/cleaning from SAP tables.
  • Develops AI-enabled early-warning systems to identify process anomalies and leads cross-functional risk-mitigating actions.
  • Designs and aggregates complex manufacturing datasets into documented data models for Quality.
  • Partners with Product Development, Procurement, and Analytical Services to ensure data flow and optimize product formulations for manufacturing consistency.
  • Builds automated dashboards to communicate trends to plant leadership and non-technical stakeholders.

Skills

SAP data governance
Manufacturing intelligence
Data engineering
Cross-functional integration
Reporting and visualization

Education

Bachelor’s degree in STEM or related field

Tools

SAP S4/ECC
ERP systems

Job description

Colgate-Palmolive’s Hill’s Pet Nutrition division in Topeka, KS, is seeking a Sr. Specialist, Quality Data Analytics to maintain master data integrity in ERP systems and design AI-enabled dashboards for early detection of process anomalies.

The role supports cross-functional teams to ensure accurate ingredient and finished product data and robust production monitoring. Ideal candidates have a STEM degree and 4+ years in ERP/Data Analytics, with experience in SAP S4/ECC and data-driven quality

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