Sr. Specialist, Quality Data Analytics

A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet® and Science Diet®. Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food.

Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods.

We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life.

A career at Hill’s Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Job Title:

Sr. Specialist, Quality Data Analytics

Travel Required?:
Travel - up to 10% of time

Posting

Start Date:

8/20/26

Hybrid

No Relocation Assistance Offered

Job Number#175321 - Topeka, Kansas, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

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.

• 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.

• Bachelor’s Degree in Science, Technology, Engineering, Math, Computer Science or any other related field.
• 4+ years of experience in ERP Data Management or Data Analytics or 2 + years of relevant experience with a Master’s degree.
• Experience building or working within data analytics and/or AI computing platforms.
• Demonstrated expertise in developing actionable strategies from data-driven trends and potential quality issues.

• Master’s Degree or Professional Certification in Data Analytics or Data Engineering.
• Understanding of food or pet food production facilities and associated Quality Assurance programs.
• Advanced proficiency with data transformation and modern AI tools.
• Familiarity with SAP PDM or SAP HUP.

Acute focus on data integrity, specifically understanding how data errors in SAP translate to…