Senior Manager: Data Delivery - Cross-Commercial

Senior Manager:
Data Delivery
- Cross-Commercial

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. A career at 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.

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

Start Date:

7/20/26 Hybrid No Relocation Assistance Offered Job Number #174936 - Piscataway, New Jersey, 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 Senior Manager, Data Delivery
- Cross-Commercial serves as the primary technical partner to the Global Cross-Commercial Analytics team. While the business role focuses on synthesizing performance insights and strategy, this role focuses on the "how," "where," and "stability" of the data ecosystem required to achieve those insights. You are responsible for architecting, deploying, and maintaining the data infrastructure that powers our unified commercial intelligence. You will translate high-level business analytical requirements into robust data engineering solutions, ensuring that disparate data sources (Media, Pricing, Retail Media, Sales) are seamlessly integrated, and accessible.

Hybrid policy requiring 4 days per week in the office. Direct reports include 2 remote data engineering/analytics resources.

• Infrastructure Strategy & Integration:
  Lead the technical implementation of cross-commercial data foundations (e.g., Snowflake, cloud integration layers). Partner with the Global Data Foundation teams to ensure our infrastructure supports complex modeling needs like Marketing & Media Effectiveness (MME) and Revenue Growth Management (RGM).
• Technical Translator & Advisor:
  Translate evolving business KPIs, value creation frameworks, and analytical learning agendas into concrete technical requirements, data schemas, and API strategies.
• Strategic Capability Support:
  Align the technical infrastructure roadmap with the 2030 corporate strategy. Ensure that the architecture remains resilient, future-proof, and capable of integrating emerging digital commerce and retail media data sources.
• Cross-Functional Technical Leadership:
  Facilitate communication between IT/Data Engineering teams and non-technical business stakeholders. Provide ongoing support for advanced analytical pilots by provisioning necessary data environments and integration points.
• Resource Management:
  Evaluate requirements to allocate internal resources and oversee external data engineering consultants, monitoring their performance and project progress.

6+ years of hands-on experience building and scaling robust data applications within complex environments. Bachelor's degree in Computer Science, Data Analytics, or a related technical field.

Salary Range $ - $ USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits:
Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15…