Job Description Summary:
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.
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