Manager, Global Promotion Analytics

No relocation assistance offered.

About the role

The Manager of Global Promo Analytics is a pivotal, high-impact position situated strategically at the nexus of Advanced Analytics, Customer Development, and Commercial Strategy. This leader will manage, develop, deliver, and implement analytical frameworks essential for tracking and optimizing consumer gross-to-net trade spend across the organization. Acting as a strategic bridge, this role connects technical analytical development with practical business implementation.

A core responsibility is the large-scale deployment and embedding of Colgate-Palmolive’s advanced suite of Promotional Analytics capabilities directly within the commercial business functions:

• Predictive - strategy: Utilizing advanced modeling to determine the impact of strategic pricing decisions (SPIs and SPDs) that drive growth.
• Predictive - tactical: Leveraging machine learning models to accurately measure and forecast the volume and value uplift from planned promotional events.
• Prescriptive - tactical: Implementing a fully prescriptive analytical capability that predicts outcomes and recommends the best promotional mechanics to optimize revenue, margin, or volume.

The ultimate objective is to enable Customer Development teams to execute more effective promotional strategies, enhance profitability, and sustain competitive advantage. This requires a blend of analytical depth, commercial acumen, and cross-functional leadership skills.

Responsibilities

• Promo Analytics Strategy Implementation: Lead the global agenda for Promo Advanced Analytics by ensuring consistent implementation of the promo analytics framework across Divisions and business functions.
• Develop and Deploy Promotional Best Practices, and Meta Learnings from Analytics: Evaluate trade spend performance across retailers globally to develop and implement global learnings and guidelines, partnering with Global and Division Analytics and CD teams.
• Cross-Functional Product Coordination: Work closely with the Sr. Manager of Global Customer Development (CD) Data & Analytics to coordinate the expansion and implementation of Promo Analytics from both product and business perspectives.
• Technical Innovation & Tool Maintenance: Partner with the Director of Machine Learning to lead the development and maintenance of internal promo analytics tools, focusing on the evolution of Colgate-Palmolive’s Promo Analytics solutions.
• Cross-Commercial Integration: Partner with the Global Cross-Commercial Analytics team to ensure promotional insights are integrated into broader cross-commercial analytical solutions.
• Divisional Consultation & Requirements: Serve as a strategic consultant for Division Analytics teams, translating business requirements into technical specifications for the ML team to ensure tools are fit-for-purpose across diverse global markets.
• Implementation & Knowledge Management: Drive the global implementation of Promo Analytics. Partner with the Global Analytics Manager to develop training materials, socialization programs, and best practices that embed these capabilities into the organizational culture.

Requirements

• Education: Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or a related discipline.
• Experience: 6+ years in Commercial Analytics, Revenue Management, or Digital Transformation, with a focus on promotional effectiveness or trade optimization.

Qualifications

• Preferred Education: MBA or Master’s degree in a relevant quantitative field or Marketing Science.
• Analytical Depth: Proven track record of managing complex datasets to derive actionable insights regarding lift, cannibalization, and price elasticity.
• Strategic Bridging: Ability to bridge the gap between deep Data Science teams and non-technical business stakeholders in a global, matrixed environment.
• Leadership: Experience leading cross-functional projects and influencing senior stakeholders across different geographies.
• Technical Savvy: Familiarity with Python, SQL, cloud data infrastructure, and the application of AI/ML in business workflows.
• CPG Expertise: Deep understanding of the CPG landscape, specifically retailer dynamics, trade spend structures, and commercial planning cycles.
• Change Management: Exceptional communication and storytelling skills, with demonstrated success in driving the adoption of new analytical tools through global training and value-demonstration.

Pay

Salary Range: $140,000.00 - $170,000.00 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

• Comprehensive benefits package including medical, dental, vision, and basic life insurance.
• Paid parental leave and disability coverage.
• Participation in the 401(k) retirement plan with company matching contributions (subject to eligibility requirements).
• Minimum of 15 vacation/PTO days and 13 paid holidays (vacation days are prorated based on hire date).
• Paid sick leave adjusted based on role and location in accordance with local laws.