Director, RGM Multi-Year Bottler Planning

The Coca-Cola Company (TCCC). Our vision is loved brands done sustainably, for a better shared future. It's an exciting time to work in The Coca-Cola Company's flagship market. We're accelerating our momentum as the fastest-growing large consumer goods company in North America by putting people at the heart of our business and everything we do.

We are hiring a Director, RGM Bottler Planning to serve as a strategic leader within the North America Revenue Growth Management organization, helping shape and advance RGM planning across the Coca-Cola system. This role will connect long-term RGM strategy with bottler planning, translating business priorities into actionable plans, insights, tools, and capabilities that enable stronger decision-making across the system.

The Director will partner closely with Bottlers, Franchise, RGM, Finance, Strategy, and other cross-functional stakeholders to improve planning processes, develop scalable analytical solutions, and create greater visibility to opportunities and risks across the business.

Success in this role requires strong business and financial acumen, analytical problem solving, stakeholder influence, and learning agility. The ideal candidate will be comfortable working with data and technology but is not expected to be an expert across every technical platform. More important is the ability to understand complex business problems, develop practical solutions, leverage emerging technology and AI, and translate insights into action.

Key Responsibilities and Position Duties

• Lead and evolve the RGM Bottler Planning process, creating greater connectivity between long-term RGM strategy, annual planning, bottler objectives, and business performance.

• Partner across Bottlers, Franchise, RGM, Finance, Strategy, and other key stakeholders to translate enterprise priorities into clear planning assumptions, scenarios, opportunities, and actions.

• Develop analytical frameworks and scenario models that enable the organization to evaluate choices, understand trade-offs, identify gaps, and improve business decisions.

• Improve the consistency, scalability, and effectiveness of planning processes, including the methodologies, tools, data, and ways of working supporting Bottler Planning.

• Leverage Power BI, Excel, and other analytical tools to simplify complex information and provide greater visibility to business performance, opportunities, risks, and planning assumptions.

• Work across enterprise data sources to integrate, validate, reconcile, and interpret information used in planning and decision-making.

• Identify opportunities to simplify and automate planning and analytical processes, reducing manual work while improving accuracy, speed, and usability.

• Explore and apply AI-enabled capabilities to accelerate analysis, automation, scenario development, documentation, coding, and problem solving.

• Translate complex analytical outputs into clear executive-level insights, recommendations, and actions for senior leaders and system stakeholders.

• Anticipate evolving business and stakeholder needs and help shape a forward-looking roadmap for Bottler Planning capabilities, tools, and processes.

• Drive adoption of new tools and ways of working by creating solutions that are practical and intuitive for users with varying levels of analytical and technical expertise.

Key Skills & Capabilities

• Strategic & Analytical Thinking: Strong ability to translate complex business questions into structured analytical approaches, scenarios, insights, and recommendations.

• Bottler & Business Partnership: Demonstrated ability to build relationships and influence stakeholders across functions and organizational levels, with the ability to navigate a complex system environment.

• Business & Financial Acumen: Strong understanding of business planning, financial drivers, RGM principles, and the relationship between strategic choices and business outcomes.

• Power BI & Data Visualization: Proficient in Power BI or similar visualization tools, with experience developing or working with data models, dashboards, analytical reporting, and business-facing solutions. Exposure to DAX or similar calculation languages is beneficial.

• Excel & Analytical Modeling: Proficient in Excel with experience working with large datasets, financial or scenario modeling, data reconciliation, and analytical problem solving.

• Data & Technology Fluency: Comfortable working with or learning technologies such as SQL, Python, Databricks, and related data tools. Deep technical expertise across all platforms is not required.

• AI-Enabled Ways of Working: Comfortable leveraging or learning Microsoft Copilot, GitHub Copilot, OpenAI Codex, or similar AI-enabled tools to accelerate analytics, automation, coding, documentation, and problem solving.

• Data Problem Solving: Comfortable working with complex datasets, identifying inconsistencies, troubleshooting analytical issues, and validating outputs before translating them into business recommendations.

• Learning Agility: Demonstrated curiosity and ability to quickly learn new business processes, analytical approaches, data sources, and technologies.

• Communication & Influence: Ability to simplify complex concepts and communicate clear, actionable insights to senior leaders, bottling partners, and stakeholders with varying levels of analytical expertise.

• Forward Thinking: Ability to anticipate stakeholder needs, proactively identify opportunities and challenges, and develop solutions supporting both near-term execution and longer-term objectives.

• Agility & Resilience: Demonstrated ability to manage multiple priorities, navigate ambiguity, meet tight deadlines, and adapt to changing business needs.

Tools & Technologies

Experience or exposure to one or more of the following is beneficial:

Power BI / DAX | Microsoft Excel | SQL | Python | Databricks | GitHub | Microsoft Copilot | GitHub Copilot | OpenAI Codex

Candidates are not expected to be experts across all technologies. Demonstrated curiosity and the ability to learn and apply new analytical and AI-enabled tools are highly valued.

Education and Experience

• Bachelor's degree in Business, Finance, Economics, Analytics, Engineering, Computer Science, Mathematics, Statistics, or a related field; equivalent relevant experience will also be considered.

• Experience in Revenue Growth Management, commercial strategy, business planning, finance, analytics, or related disciplines.

• Demonstrated experience translating complex business questions into analytical solutions and actionable recommendations.

• Experience working cross-functionally and influencing stakeholders in a complex organization.

• Consumer packaged goods and/or Coca-Cola System experience is preferred but not required.