Senior Director, Advanced Analytics & Predictive Modeling

This role serves as a strategic leader within the Global Marketing organization, driving the next generation of analytical capabilities that empower teams to make smarter, faster, and more precise decisions. The role builds an enterprise-level approach to advanced analytics—spanning forecasting, econometric modeling, machine learning, marketing effectiveness, commercial scenario planning, and predictive demand insights.

Working closely with cross-functional partners across Customer & Commercial, Revenue Growth, Digital, Insights, and regional Operating Units, the role shapes the methodologies, tools, and frameworks that guide global marketing investment and strategic choices.

The role requires a forward-thinking leader with deep expertise in advanced analytics, strong storytelling abilities, and the ability to translate complex models into clear actions—shaping new capabilities and driving measurable business impact across markets and the commercial ecosystem.

SCOPE & IMPACT

• Enterprise scope: Defines the global vision, strategy, and roadmap for advanced analytics and predictive modeling across the Marketing function, ensuring alignment with enterprise priorities and system needs. Leads standardized analytics frameworks, tools, and methodologies that enable consistent, data-driven decision-making across markets.
• Stakeholder scope: Partners with Categories, Customer & Commercial, Insights, Digital, and Data teams to embed analytics into end-to-end decisions, shaping how forecasting, ROI measurement, optimization, and scenario planning inform global and local choices.
• People scope: Coaches and mentors analytics talent while orchestrating a broader matrixed ecosystem of internal teams and external analytics and research partners.
  
  

Key Responsibilities & Accountability

• Leads the global strategy, vision, and roadmap for advanced analytics and predictive modeling across the Marketing function.
• Builds and scales predictive models that enhance demand forecasting, marketing ROI measurement, campaign optimization, and category or portfolio decision-making.
• Partners with Categories, Customer & Commercial, and Insights teams to embed analytics into full end-to-end decisions.
• Develops standardized analytics frameworks, tools, and methodologies that enhance consistency and enable data-driven choices across markets.
• Guides the development of machine learning, econometric, and statistical models that drive insights into consumer behavior, media effectiveness, brand equity, and purchasing dynamics.
• Supports the GI&PM pillars (consumer science, shopper science, portfolio management, and marketing performance) by leveraging experimentation, MPV, test-and-learn designs, and applied analytics to validate hypotheses, quantify impact, and scale successful approaches globally.
• Generates best approaches to solve business questions by defining transferable learnings and frameworks that can be applied across geographies without replicating identical exercises in every market.
• Translates complex analytical outputs into simple, compelling, and actionable recommendations for senior leadership, brand teams, and customer partners.
• Builds strong partnerships with Digital and Data teams to ensure access to high-quality data, modern tooling, and AI-enabled platforms.
• Establishes governance routines, capability-building programs, and communities of practice to strengthen analytical fluency across the system.
• Leads external benchmarking and stays ahead of emerging trends in artificial intelligence, predictive analytics, generative modeling, and marketing science.
• Implements responsible data practices and upholds ethical standards in model design, testing, and deployment.
  
  

CANDIDATE PROFILE

A strategic, enterprise-minded analytics leader with the ability to set the agenda, integrate across a matrixed global network, and translate advanced analytical outputs into commercial and marketing decisions. Comfortable operating with ambiguity, influencing senior stakeholders, and leading with clarity while developing both direct and networked teams.

Functional Skills

• Advanced analytics, predictive modeling, and data science applied to marketing and commercial decision-making.
• Expertise in econometric, machine learning, statistical, forecasting, simulation, and optimization models.
• Strong proficiency in modern analytics tools, programming languages, and modeling environments (e.g., Python, R, SQL, AI-enabled platforms, cloud-based architectures).
• Marketing science and consumer behavior analytics, with the ability to connect models to real-world brand and customer decisions.
• Design and leadership of test-and-learn experiments, simulations, and experimentation frameworks.
• Strategic storytelling and structured recommendation building for senior leadership impact.
• Systems thinking that connects insights across functions, markets, and commercial contexts.
  
  

Leadership Skills

• Enterprise mindset with the ability to define global standards and scale capabilities across diverse regions.
• Ability to influence and align senior leaders across a complex, matrixed organization.
• Coaching and mentoring of analytics talent, fostering an inclusive and growth-oriented culture.
• Strategic judgment, adaptability, and effectiveness in fast-paced, evolving environments.
• External orientation with passion for analytical innovation, AI trends, and marketing effectiveness.
• Comfort leveraging generative AI tools and Microsoft Copilot in day-to-day work.
  
  

Experience & Background

• Bachelor’s degree in Data Science, Statistics, Marketing Science, Economics, Engineering, Applied Mathematics, Computer Science, or related discipline; Master’s degree or Ph.D. preferred.
• 12 years of experience in advanced analytics, predictive modeling, data science, or marketing analytics, including significant leadership experience in global or large-scale, matrixed environments.
• Proven experience building and deploying predictive, econometric, and machine learning models that drive business decisions.
• Demonstrated success influencing senior leaders through clear storytelling and business-oriented communication.
• Experience designing, leading, and executing an ecosystem of marketing and commercial analytics research agencies.
• High level of digital and data fluency with hands-on experience in AI-enabled environments.
  
  

What We’ll Do For You

• Global Impact: Influence enterprise-level strategic decisions by shaping the analytical foundations that guide marketing investment, portfolio growth, and customer value creation worldwide.
• Career Growth & Development: Access world-class learning, leadership development, and opportunities to drive cross-functional transformation.
• Cutting-Edge Digital Environment: Work with modern tools, AI-enabled platforms, and advanced data ecosystems that elevate analytics maturity across the system.
  
  

All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.

Data Science, Data Storytelling, Influencing, Marketing Analytics, Predictive Modeling

Pay Range

United States of America: $218,800 - $247,200

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage

50

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Long-term Incentive Reference Value Percentage

20

Long-term Incentive reference value is a market-based competitive value for your role.

Location(s):

United States of America

City/Cities

Atlanta

Travel Required

00% - 25%

Relocation Provided:

Yes

Job Posting End Date

May 6, 2026

Our Purpose And Growth Culture

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130 years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Pay Range:United States of America: $0 - $0

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:50

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Long-term Incentive Reference Value Percentage:20

Long-term Incentive reference value is a market-based competitive value for your role