Manager, Machine Learning Engineering

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet.

Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. Every day millions of people trust our products to care for themselves and the ones they love.

Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.

Job Title:

Manager, Machine Learning Engineering

Travel Required? Travel - up to 10% of time

Posting

Start Date:

2/26/26

Hybrid

No Relocation Assistance Offered

Job Number#171681 - New York, New York, United States

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 Manager, Machine Learning Engineering is a technical leader who bridges the gap between enterprise AI strategy and production grade execution. In alignment with Colgate-Palmolive’s purpose to Make More Smiles and our commitment to a healthier future for our people, pets, and planet, this role ensures that advanced machine learning capabilities are translated into scalable, responsible solutions that deliver measurable business impact across our global operations.

As part of the Enterprise AI/ML Center of Excellence, you will lead the architectural design and end-to-end execution of high-priority ML initiatives. This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate-Palmolive's business processes to accelerate innovation, enhance decision intelligence, and embed AI. Beyond hands‑on technical work, you ensure solutions are architecturally sound, production‑ready, and compliant with enterprise governance standards, translating strategy into robust execution aligned with stakeholder needs and long‑term value creation.

• Architectural Design:
  Lead the design of scalable, modular ML architectures. Define how models, data pipelines (Airflow/dbt), and inference services integrate with enterprise applications and cloud infrastructure (GCP).
• Project Management:
  Own the full ML lifecycle for key enterprise work streams. Manage resource allocation, sprint planning, and delivery timelines to ensure "moonshot" projects move from lab to production.
• Stakeholder Management:
  Act as the primary technical point of contact for business partners in Marketing, Supply Chain, and Finance. Translate complex business problems into technical requirements and communicate project impact through data‑driven narratives.
• Production Excellence:
  Oversee the transition of experimental research into robust production services. Ensure all systems meet enterprise standards for MLOps, security, and reliability.
• Technical Governance:
  Ensure that architectural patterns and coding standards are followed across the team, conducting design reviews and code audits to maintain "Software Engineering for ML" best practices.

• Bachelor’s Degree (or higher) in a high‑rigor field:
  Statistics, Data…