Sr. Manager, Customer Analytics and Experience
Colgate Palmolive
Piscataway, NJ · Posted October 9, 2026
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Where Piscataway, NJ ranks
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November 2026
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About the job
No Relocation Assistance Offered Job Number #175762 - Piscataway, New Jersey, 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.
Sr. Manager, Customer Analytics and Experience
In today’s dynamic technology environment, it is an exciting time to be a part of the Advanced Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive (CP) in this ever-changing landscape. What role will you play as a member of Colgate's North America Customer Analytics and Experience Manager?
This role involves developing predictive models, simulations, and optimizations to address business challenges, leveraging Machine Learning (ML) and Artificial Intelligence (AI) for scalable solutions for Colgate’s customers in North America. Reporting to Customer Engagement Senior Director, this role requires managing internal and external data sources, including warehouse and store level in-stock levels, Point of Sales, forecasting studies and other key customer level supply chain KPIs to provide clear insights to customer engagement teams. Additionally, the role demands close collaboration with global analytics and GIT teams to build solutions to solve business problems, analyze patterns, and drive sales as part of Colgate’s global strategy.
The ideal candidate will have experience with statistical data analytics, modeling, and algorithms, and will have worked with large datasets to drive performance and insights reporting. This role is a managerial role that has the responsibility of ensuring the direct reporting team understands the strategy and works closely with the customer engagement team as well as global stakeholders to resolve them.
What you will do:
Continue to build and evolve CP’s 2030 strategy for NA Customer Engagement Analytics by leading a comprehensive assessment of the current data & analytics landscape, identify gaps, inefficiencies, and opportunities
Collaborate with GIT and Global Supply Chain Analytics team and be part of the global strategies to solve business problems at global scale
Periodic assessment to determine what data sets, solutions, reports, and technology should be prioritized and scaled
Define key performance metrics and data governance frameworks to ensure consistency, accuracy, and accessibility of insights across CP’s customers in North America
Identify what advanced analytics solutions and capabilities should be leveraged and used to support the Customer Engagement team as well as the Customer Service and Logistics team to drive efficiencies
Lead the utilization of advancements in technology, AI and GenAI to deliver efficiencies in their day-to-day efforts as well as business growth
Develop and deploy AI Assistants understanding what is the largest need with the most important impact in the business
Understands business needs and questions and identifies the right analytics capabilities to solve them
Translates the analytics and integrates and implements learnings into business processes
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
Required Qualifications
Bachelors Degree in Statistics, Business Analytics, Data Science or similar field
10+ years of experience in driving analytical insights and solutions
Experience supporting and working with multi-functional teams in a dynamic environment
Strong hands-on/experience on developing statistical models and on coding languages such as Python, SQL, PySpark, SparkR
Working knowledge on visualization tools like Domo, Looker, Sigma, Power BI or any similar
Leverage knowledge of Snowflake to efficiently query, manage, and scale large data environments in support of advanced analytics initiatives
Strong knowledge of Circana, NielsenIQ, 1010data, or point-of-sale (POS) or any similar retailer data tools.
Preferred Qualifications
Masters in Statistics/Economics or MBA in Business Analytics / Data Science
Mastering in advancements in agentic AI
Implementation Knowledge of machine learning techniques and their real-world advantages/drawbacks.
Presentation skills, including structuring and storytelling to update on progress, key challenges and support needed
Ability to provide structure and think strategically in complex business context
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Ability to independently plan and execute deliveries
Managing and leading a team for solutioning predictive models and ad-hoc data needs from internal sources
Compensation and Benefits Salary Range $139,200.00 - $174,000.00 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 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here .
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