Director, Media Measurement

The Coca-Cola Company•Atlanta, GA

2d•Onsite

About The Position

The role will report to the Sr. Director I of Modeling and Measurement. At The Coca Cola Company, we are constantly evolving how we connect with billions of consumers across North America and around the world. As a global leader in beverages and brand-building, we are committed to creating a more innovative, data-powered, and consumer-centric marketing ecosystem—one that fuels growth across our expansive portfolio and empowers our teams to make bold, insight-driven decisions. As part of our North America Operating Unit Marketing team, the Media Measurement Director plays a critical role in enabling best in class media effectiveness, helping us understand how our investments drive brand strength, consumer engagement, and business growth. In this role, you will shape the approach for how we quantify performance, guide strategy, and drive continuous improvement across the full marketing funnel. We are seeking a leader with strong technical fluency in Marketing Mix Modeling, a deep understanding of media measurement methodologies, and a strong ability to translate insights into action. This role requires hands-on understanding of model design, variable engineering, assumptions, limitations, and interpretation, as well as the ability to develop supplemental modeling approaches to address emerging business questions not yet fully answered by existing tools. If you thrive at the intersection of data, creativity, and business impact—and want to influence one of the world’s most iconic marketing engines—this opportunity is designed for you.

Requirements

Bachelor’s degree in Marketing, Business, Statistics, Data Science, Economics, or a related field; graduate degree (MBA or master’s) is beneficial but not required.
10+ years of experience in marketing analytics, media measurement, or advertising effectiveness, with deep, hands‑on exposure to Marketing Mix Modeling.
Demonstrated technical understanding of how MMMs are built, including data engineering, variable construction, lag/adstock, saturation, model constraints, and diagnostics.
Strong understanding of media platforms and measurement approaches across television, digital, mobile, social, influencer, and retail media.
Experience working with vendors such as Nielsen, IRI, Analytic Partners, or comparable measurement partners.
High proficiency in digital analytics concepts, including conversion tracking, viewability, engagement metrics, and sales linkage.
Familiarity with data tools such as Google Analytics, data visualization platforms (Power BI or Tableau).
Strong coding experience in Python or similar is preferred.
Strong proficiency in Python or similar programming languages, with application to statistical modeling and analytics, is required.
Experience working with CPG data is a plus.
Ability to connect marketing measurement to broader business outcomes, effectively linking brand and performance metrics to revenue and growth.
Strong communication skills with an ability to simplify technical insights, influence stakeholders, and present confidently to senior leaders.
Demonstrated experience leading teams, setting vision, coaching talent, and driving cross-functional collaboration in a fast paced environment.
Proven capability in stakeholder management, including navigating challenging conversations and providing constructive, solution-oriented guidance.
Growth mindset with a passion for continuous learning, innovation, and staying current with industry trends in analytics, measurement, and AI-driven insights.
Comfort working in environments of ambiguity, adapting quickly to evolving priorities or new business needs.
Commitment to ethical data use and understanding of privacy considerations in modern measurement practices.
Ability to manage multiple simultaneous projects and deliver high-quality insights at speed.

Nice To Haves

Graduate degree (MBA or master’s) is beneficial but not required.

Responsibilities

Develop and own a unified media measurement framework that evaluates the full marketing funnel, ensuring clarity around key performance indicators, success metrics, and campaign effectiveness across all channels.
Lead Marketing Mix Modeling (MMM) from inception to activation, including: Defining model objectives and scope aligned to business questions, Guiding data requirements, transformations, and variable engineering, Evaluating model structure, assumptions, and diagnostics, Interpreting results with a clear understanding of strengths, gaps, and uncertainty, Translating findings into recommendations for planning, optimization, and learnings.
Serve as a technical thought partner to analytics vendors and internal teams—challenging methodologies, validating outputs, and ensuring models are fit-for-purpose.
Develop and/or sponsor complementary modeling approaches (e.g., custom regression models, causal analyses, response curves, elasticity studies, scenario simulations) that supplement MMM capabilities and address questions not adequately answered by current tools.
Guide multi-touch attribution approaches for digital marketing, ensuring alignment between attribution insights and broader modeling efforts to drive accurate, future-forward decision making.
Implement consistent in-flight and post-campaign measurement processes, ensuring the organization has timely access to dashboards, pacing metrics, test results, and comprehensive post program reviews.
Consolidate performance data across diverse sources—including media delivery, brand health tracking, sales integration, sentiment, and experiment results—to tell a clear story of marketing effectiveness.
Partner closely with Media, Integrated Marketing Experience, and Finance teams to embed measurement into campaign briefing, planning, execution, and business case development.
Provide forward-looking scenario modeling or benchmarking to anticipate campaign performance and help shape outcome driven media strategies.
Translate complex analytical results into accessible insights for leaders and cross-functional partners, facilitating discussions that drive learning, clarity, and action.
Serve as product owner for marketing performance measurement tools and technologies, aligning with IT and MarTech teams to assess platforms, enhance data integration, and ensure the system supports advanced analytic needs.
Champion a test and learn culture, designing statistically sound experiments—including A/B tests, geo holdouts, and incrementality tests—to quantify impact and fuel innovation.
Maintain a “learning agenda” to prioritize experimentation, drive continuous improvement, and ensure output informs annual planning cycles.
Monitor industry shifts in privacy, data regulations, and digital measurement methodologies to keep CocaCola’s capabilities leading-edge and future ready.
Communicate performance stories through quarterly reports, dashboards, and presentations, ensuring transparency, accountability, and shared understanding of marketing ROI.
Support development of a team of analysts and measurement specialists, fostering a collaborative, inclusive, and high-performance culture rooted in curiosity and data-driven decision making.