Back to jobs

Sr. Manager, Customer Analytics and Experience

Piscataway, NJ, US

Pay
USD 139,200–174,000/yearAnnual period assumed · Location-specific pay — pay source
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.
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Colgate-Palmolive

What you’ll work on

Full posting
  • Collaborate with GIT and Global Supply Chain Analytics team and be part of the global strategies to solve business problems at global scale

  • Define key performance metrics and data governance frameworks to ensure consistency, accuracy, and accessibility of insights across CP’s customers in North America

  • Lead the utilization of advancements in technology, AI and GenAI to deliver efficiencies in their day-to-day efforts as well as business growth

From the employer’s posting
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
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
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

What you’ll bring

All qualifications

Core experience

  • 10+ years of experience in driving analytical insights and solutions
  • Experience supporting and working with multi-functional teams in a dynamic environment
  • Strong knowledge of Circana, NielsenIQ, 1010data, or point-of-sale (POS) or any similar retailer data tools.

Preferred experience

  • Ability to provide structure and think strategically in complex business context
  • Ability to independently plan and execute deliveries
Qualification wording
10+ years of experience in driving analytical insights and solutions
Experience supporting and working with multi-functional teams in a dynamic environment
Strong knowledge of Circana, NielsenIQ, 1010data, or point-of-sale (POS) or any similar retailer data tools.
Ability to provide structure and think strategically in complex business context
Ability to independently plan and execute deliveries

Tools in this posting

  • Python
  • SQL
  • Looker
  • Sigma
  • Snowflake
  • PySpark
  • Power BI
Source — Tool mentions in context
- 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
- 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
- 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.

About Colgate-Palmolive

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.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 10, 2026 · 35d ago
Recorded sightings
306
Last seen by us
Oct 15, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

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.

#LI-Hybrid

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.colgate.com. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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.
Location & working pattern

Piscataway, NJ, US

For additional Colgate terms and conditions, please click here. #LI-Hybrid
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.