No Relocation Assistance Offered
Job Number # - Del.Miguel Hidalgo, Mexico City, Mexico
**Who We Are**
Colgate-Palmolive Company is a general 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.
**Job Purpose**:
The Global Data Science and Advanced Analytics team at Colgate-Palmolive is dedicated to developing, deploying, and delivering internally built analytics capabilities and solutions at scale that drive business growth and impact by answering critical business questions or analytical use cases.
As the demand for these analytical capabilities and solutions increase, Colgate-Palmolive is investing in implementing geographically based Advanced Analytics Pods to support the scaling and execution of these capabilities in a faster and more efficient manner around the world. In this case, the use cases and analytics capabilities are: Price and Promo Analytics, Promo Effectiveness and Efficiency Analytics, and Marketing and Media Effectiveness Analytics (MME Analytics). There will be three Advanced Analytics Pods to ensure coveraging and supporting the needs of the Colgate-Palmolive Divisions. These Pods will have a Colgate-Palmolive lead (this role) and manage a number of external partners (Data Scientists) to implement and deliver the right analytics capabilities.




This role will be in charge to lead and drive the “Americas Pod” supporting the North America, Latin America, and Hill’s Pet Divisions analytics needs.
As the lead of the Advanced Analytics Pod, the Senior Manager is also responsible to manage and lead the team of external vendors - Data Scientist staff augmentation - to support the implementation and execution of the analytics capabilities for the Pod.
This role will work very closely with the Division Analytics teams to understand the analytics needs and business requirements to deploy, execute, and deliver the right analytics solutions that address those needs and requirements. It will also help prioritize the efforts accordingly to meet the business needs and timing of delivery.
The role involves working closely with business teams to understand their needs, formulate hypotheses, and connect data-driven insights to business problems.
Acting as an intermediary between the business and data scientists/analysts, it ensures that the appropriate use cases are addressed. Utilizing both internal and external data sources, such as Syndicated Market Data and Point of Sales data, the role develops and supports analytics and insights-based services and solutions.
Leveraging strong expertise in statistical data analytics and machine learning/AI with experience in CPG analytics (e.g. PnPs, Promo Analytics, MMMs,... etc),



he/she will implement or build predictive models and algorithms that drive business performance. Additionally, the role involves efficiently managing and working with large datasets to obtain and communicate business insights effectively.
**Main Responsibilities**:
- Leads the study scoping and delivery of Pricing and Promotion Analytics, Marketing and Media Effectiveness (e.g. MMMs, Digital Deep Dives,...)
- Conceptualizes, implements, and/or builds predictive modeling, statistical models, machine learning models, simulations, and optimization solutions to address business questions or use cases, using as foundation the currently available analytics workbench
- Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business
- Plays a critical role in the Governance, improvement, and development of our internal analytics solutions working with the other Advanced Analytics Pods
- Able to interpret analytics results and present insights in an easy to interpret way to the business teams
- Understands business needs and questions and identifies the right analytics capabilities to solve them
- Simplifies complex analyses into actionable recommendations
- Translates the analytics and integrates and implements learnings into business processes
- Act as a bridge between the business and data scientists and data analysts from Global and the Division
- Identifies use cases to be addressed by data scientists, co-develops analytics solutions
- Assist with change management needs (e.g., training, communications, etc.) as part of roll-out and on-going support of analytic tools, processes and services.
- Ready to work collaboratively with business partners across geographies
**Required Qualifications

📌 Sr.manager,gbl Data Science & Adv Analyt (Ciudad de México)
🏢 Colgate-Palmolive
📍 Ciudad de México