Senior Manager, Global Category & Innovation Intelligence Services

The Coca-Cola Company is a global leader in the beverage industry, operating in over 200 countries and combining the power of scale with deep local knowledge to drive sustainable growth. As part of our commitment to innovation and data-driven decision-making, the Global Digital Network organization serves as a key growth driver, delivering enterprise-wide digitized solutions.

This role is part of the Enterprise Intelligence team within the Global Digital Network organization. As Senior Manager, Global Category & Innovation Analytics Intelligence
, you will play a critical role in creating and delivering analytics outcomes that drive the success of our global category and innovation strategies, annual business plans, and long-term roadmaps. You will work closely with category teams, analytics experts, and cross-functional stakeholders to unlock actionable insights, leverage AI and automation to enhance analytics delivery, and ensure alignment with business objectives.

• Develop and deliver analytics solutions that support category performance reviews, quarterly deep-dives, annual business planning, and multi-year roadmaps.
• Create and maintain category performance reports, identifying trends, insights, and actionable recommendations.
• Collaborate with category teams to translate raw data into meaningful insights that drive category growth and innovation.
• Apply AI, automation, and advanced analytics capabilities to improve the speed, quality, and scalability of analytics delivery.
• Identify opportunities to automate recurring analytics, reporting, and insight-generation processes.
• Present analytics outcomes and strategic recommendations to category stakeholders, ensuring alignment with business goals.
• Partner with the Enterprise Intelligence team to integrate insights into brand strategies and identify opportunities for scaled productization and process improvements.

• Evaluate existing analytics tools, platforms, AI capabilities, automation opportunities, and methodologies to identify areas for improvement,
• Collaborate with category stakeholders to understand future needs and translate them into actionable analytics requirements.
• Monitor performance metrics and track the effectiveness of analytics solutions by measuring KPIs and user satisfaction.
• Benchmark current analytics solutions against industry best practices to identify gaps and opportunities for enhancement.

• Embed innovation trends, consumer insights, and competitive analysis into category analytics deliverables.
• Collaborate with category teams to identify opportunities for innovation and align analytics outcomes with the innovation agenda.
• Support the development and execution of innovative marketing strategies through data-driven insights.

• Promote the use of analytics tools and technologies within category planning and execution processes.
• Develop and implement strategies to drive data-driven decision-making across category teams.
• Share case studies and examples of successful analytics-driven outcomes to encourage adoption and engagement.

• Work closely with cross-functional teams across marketing, innovation, commercial, and strategy to ensure alignment and integration of analytics solutions.
• Contribute to the development of Ways-of-Working materials to support collaboration and knowledge sharing within the category analytics community.
• Actively participate in the category analytics community of practice, sharing insights and best practices to foster engagement and growth.

• Analytics Expertise:
  Proven ability to create and deliver advanced analytics solutions that drive business outcomes.
• Data Storytelling:
  Ability to simplify complex data into actionable insights for diverse audiences.
• Technology Enabled Advanced Analytics:
  Proficiency in AI, agentic, and advanced analytics tools.
• Strategic Planning:
  Experience translating multi-year strategic plans into actionable and measurable deliverables.
• Category Analytics:
  Ability to analyze large datasets, identify trends, and translate raw data into meaningful insights for category growth.
• Change Management:
  Experience driving adoption of analytics tools and promoting data-driven decision-making.
• Financial Acumen:
  Understanding of financial metrics and P&L statements to assess the profitability and performance of categories and…