Director, Global Intelligence Measurement Models & Analytic Frameworks

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. This role sits within the Enterprise Intelligence team of the Global Digital Network organization, focusing on designing and implementing digitally enabled, scalable measurement systems and advanced analytics frameworks.

Responsibilities

• Measurement Models and Analytics Frameworks Development
  • Design and implement digitally enabled, industry-leading measurement systems that integrate consumption and purchase data for consistent comparability and holistic diagnostics.
  • Develop, validate, and support the implementation of advanced statistical, econometric, and machine learning models to drive powerful insights across the purchase-to-consumption pathway.
  • Ensure the accuracy, reliability, and scalability of models through rigorous testing and validation.
• Technology and Advanced Analytics Leadership
  • Collaborate with cross-functional teams of data, research, analytics, and human insights experts to drive a transformation agenda for connected consumer and shopper marketing data.
  • Integrate AI and machine learning into traditional research methodologies to automate processes and enhance capacity for learning and foresight.
  • Promote the adoption of cutting-edge, technology-enabled solutions across the organization to enhance data fluency and user satisfaction.
• Partnerships and Collaboration
  • Identify, establish, and manage partnerships with leading digital research agencies and data providers to foster innovative approaches to consumer and shopper insights.
  • Work closely with the Global Consumption & Purchase Protocols Intelligence team to design, curate, and test technology-enabled consumption and purchase protocols.
  • Collaborate with cross-functional teams to align measurement systems and analytics frameworks with organizational goals.
• Operational Excellence and Continuous Improvement
  • Promote transparent discussions to continuously improve the efficiency and effectiveness of marketing data across categories, brands, and commercial functions.
  • Build capability and drive awareness and training to enhance data fluency and user satisfaction of integrated and comparable measurement protocols and systems.

Requirements

• Functional Skills
  • Measurement and Analytics Expertise: Deep understanding of consumer and shopper research techniques, technology-enabled tracking methodologies, and the complete data ecosystem lifecycle.
  • AI Enabled Advanced Analytics: Expertise in developing statistical, econometric, and machine learning models to drive actionable insights.
  • Strategic Vision: Ability to apply new technologies to operationalize briefs and create future-ready measurement systems.
  • Cross-Functional Collaboration: Proven ability to articulate cross-functional objectives to senior management and develop diverse network partnerships.
  • Innovation and Transformation: Track record of driving adoption of cutting-edge solutions and services across a global organization.
• Experience
  • Minimum of 8 years of experience in consumer and shopper research, with at least 5 years in technology and digital agencies.
  • Agency experience in consumer and shopper tracking management and data analytics, including developing statistical, econometric, and machine learning models.
  • Experience working in a complex, global environment, leveraging teams of internal and external resources.
• Education
  • Bachelor’s degree required; MBA or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field preferred.

Benefits

• Iconic Brands: Work with globally recognized brands like Coca-Cola, Sprite, and Fanta.
• Diverse Partners: Collaborate with a wide range of cross-functional partners, from retail to entertainment.
• Growth Culture: Be part of an inclusive culture that values curiosity, empowerment, and continuous learning.

Pay

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. The pay range for this role in the United States is 169,000 USD - 200,000 USD. A full range of medical, financial, and/or other benefits is offered, dependent on the position.

Annual Incentive reference value is a market-based competitive value for your role, set at 30% of the base pay, indicating performance at target.

Long-term Incentive reference value ranges from 0% to 20% of the base pay.

Schedule

• Location(s): Atlanta, United States of America
• Travel Required: 0% - 25%
• Relocation Provided: No