Sr. Manager, Customer Analytics and Experience

Colgate • Piscataway, NJ

3d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• medical
• dental
• vision
• basic life insurance
• paid parental leave
• disability coverage
• participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements
• a minimum of 15 vacation/PTO days
• 13 paid holidays
• Paid sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager