Sr. Manager, Customer Analytics and Experience
Colgate-Palmolive Company
No Relocation Assistance Offered
Job Number #175762 - Piscataway, New Jersey, United States
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
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
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