Marketing Data & Analytics Director

This leader partners closely with commercial leadership to translate complex business questions into actionable insights, predictive analytics, and scalable digital solutions that improve decision-making and drive commercial performance across the Walmart and Sam’s Club business.

Responsibilities

• Serve as the strategic analytics leader supporting the Walmart and Sam’s Club business, translating business priorities into scalable analytical solutions.
• Partner with senior commercial leaders to identify opportunities where advanced analytics can improve customer strategy, category performance, forecasting, revenue growth, and operational execution.
• Deliver executive-level insights, recommendations, and business reporting that influence strategic decision making.
• Lead prioritization of analytics work, balancing business impact, resource capacity, and delivery timelines.
• Communicate complex analytical findings in a clear, actionable manner to both technical and non-technical audiences.
• Lead the development and application of advanced analytics, predictive models, machine learning, and statistical techniques to solve complex commercial challenges.
• Oversee development of analytics supporting areas such as price elasticity, demand forecasting, phantom inventory, shopper behavior, assortment, promotional effectiveness, and other key business opportunities.
• Identify emerging trends, risks, and growth opportunities through structured, semi-structured, and unstructured data sources.
• Define and execute the analytics capability roadmap, aligning Horizon 1 execution with longer-term Horizon 2 and Horizon 3 innovation priorities.
• Champion adoption of modern analytics, AI, and predictive capabilities to drive more proactive decision making across the organization.
• Lead the strategy and governance for executive dashboards and analytics products that provide consistent, trusted business insights.
• Partner with Digital Experience (DX), Data & Analytics (D&A), Strategy, Transformation & Analytics (ST&A), Global Business Services (GBS), and technology teams to improve data quality, strengthen data foundations, and enhance digital analytics capabilities.
• Ensure analytics products are scalable, user-centric, and aligned with evolving business needs.
• Drive continuous improvement in reporting automation, visualization, and self-service analytics capabilities.
• Lead, coach, and develop a high-performing team of analytics professionals while fostering a culture of curiosity, innovation, and continuous learning.
• Build future-ready analytics capabilities by investing in technical development, commercial acumen, and leadership growth.
• Establish clear priorities, performance expectations, and accountability across the team.
• Build strong partnerships across PepsiCo’s commercial, analytics, technology, and enterprise functions to maximize organizational impact.

Requirements

• Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related field.
• 8+ years of progressive experience in analytics, business intelligence, data science, commercial strategy, or related fields.
• 5+ years of experience leading high-performing analytics or technical teams.
• Demonstrated experience applying advanced analytics, predictive modeling, and statistical techniques to solve complex business problems.
• Experience working with large, complex datasets and modern analytical tools, including Python, SQL, or similar programming languages.
• Strong executive communication, storytelling, and stakeholder management skills.
• Proven ability to influence senior leaders and operate effectively across highly matrixed organizations.
• Strong commercial acumen with the ability to connect analytics to business outcomes.

Preferred Qualifications

• Master’s degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related discipline.
• Experience supporting large retail customers, CPG organizations, or commercial organizations.
• Experience with machine learning applications in a business environment.
• Experience developing executive dashboards and self-service analytics capabilities using platforms such as Power BI or Tableau.
• Familiarity with shopper, consumer, syndicated, retail, and digital commerce data sources.
• Experience partnering with product, technology, data engineering, or enterprise analytics organizations to deliver scalable analytics solutions.
• Passion for developing talent, fostering innovation, and advancing data-driven decision making across the organization.

Pay

The expected compensation range for this position is between $132,200 and $262,400. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary.

Bonus based on performance and eligibility: target payout is 25% of annual salary paid out annually, with an additional target payout of 10% of annual salary paid out over 3 years following the end of the performance period. Long-term incentive equity may be awarded based on eligibility and performance.

Benefits

• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• Medical, dental, and vision coverage.
• Disability, health, and dependent care reimbursement accounts.
• Employee Assistance Program (EAP).
• Insurance (accident, group legal, life).
• Defined contribution retirement plan.