Senior Manager, Data Product & Execution Analytics

The Coca-Cola Company • Atlanta, GA

1d • Onsite

About The Position

As the Senior Manager of Data Product & Execution Analytics, you will sit at the intersection of digital innovation and commercial excellence. You will be a lead architect in how the North America Operating Unit (NAOU) leverages data to drive the digital agenda. You will ensure that our digital products are not only built on a foundation of robust data governance and AI but are also optimized to drive measurable growth for our customers and partners. You will act as the connector between cross-functional product teams, technical teams and our commercial leadership, ensuring that every digital capability we launch is backed by analytical rigor and scaled effectively across the system.

Requirements

• 5–8 years of experience in product analytics, digital analytics, or data analysis supporting digital products.
• Proven experience in data modeling, master data management and data governance, or governing complex metric frameworks.
• Strong SQL skills and experience working with large datasets.
• Experience analyzing behavioral data such as funnels, cohorts, and user journeys.
• Experience designing or evaluating product experiments (A/B tests, pilots, or controlled rollouts).
• Ability to translate complex analyses into clear insights for product and business partners.
• Experience working closely with product managers, designers, and engineers.
• Understanding of how data inputs influence AI/ML models and how to automate insights within business workflows.
• Bachelor’s degree in analytics, statistics, economics, computer science, or a related quantitative field.
• Analytical Rigor: Breaks down complex questions into clear analyses and surfaces patterns that guide decisions.
• Product Thinking: Connects insights to user needs, business outcomes, and product strategy.
• Measurement & Experimentation: Defines meaningful metrics, tests hypotheses, and evaluates impact with evidence.
• Data Storytelling: Communicates insights with clarity and influence through narratives and visualizations.
• Collaboration & Influence: Builds trust across disciplines and helps raise analytical fluency within product teams.

Responsibilities

• Govern 1st, 2nd, and 3rd-party data dimensions (e.g., RTM cubes, Volume) to ensure reporting consistency. Maintain shared business definitions and KPI, while organizing the documentation for key product metrics.
• Proactively identify and sunset underutilized reports or data streams to help free up team capacity and focus on high-impact initiatives.
• Analyze how stakeholders and associates interact with our tools to determine which features are "must-haves" and which are friction points.
• Translate product usage data into Impact Narratives, helping the Business Analyst team understand which parts of their work are driving the most business value.
• Partners with product managers, designers and engineers frame product questions, evaluate opportunities, and inform prioritization.
• Use data and analysis to help teams understand which problems are most important to solve.
• Contribute analytical insight during product discovery, concept evaluation, and roadmap planning.
• Design and evaluate experiments, pilots, and controlled rollouts to understand the impact of product changes.
• Help teams define success metrics and guardrails for new product capabilities.
• Translate experimental results into clear recommendations for product decisions.
• Define event tracking and product instrumentation that accurately reflects user behavior.
• Partner with engineering teams to ensure reliable data collection and measurement.

Benefits

• A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
• Access to resources such as LinkedIn Learning and management programs that give you the resources to continually develop your skills and knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees