Contract Causal Inference Jobs in Georgia (NOW HIRING)

The Coca-Cola Company has been on a journey to build a networked global organization across more than 200 countries, combining the power of scale and deep local knowledge to drive sustainable growth. A critical component of this networked organization is Enterprise Services in addition to the Center Domains & Operating Units. Enterprise Services acts as the backbone of our operating structure by providing a network of enterprise-wide scaled solutions and services.

This role sits within the Marketing, CCL & PACS Intelligence (MCPI) Services team, which is a service line embedded in the broader Enterprise Services structure. As part of this team, we are transforming its approach and capabilities as it relates to global Marketing Communications Insights and Measurement. We are investing in our marketing intelligence discipline to be more consumer centric and data-savvy, and to deliver intelligence that will enable distinctive, competitively advantaged marketing experiences and consumer communications campaigns. Integrated measurement, end-to-end brand campaign insights, and value-based partnership delivery are at the heart of this transformation.

The Senior Manager, Global Marketing Communications and End-To-End Experiences Intelligence will work across the market research, marketing data, and media/advertising disciplines to develop, build, and implement next-generation brand experience/campaign diagnostics for advertising, consumer experiences, and assets/sponsorships. The position works in close cooperation with several business stakeholders, including Human Insights, IMX/Connections, Global Categories, Operating Unit Marketing associates, and Global support functions such as Enterprise Services and Platform Services. Additionally, this person will assess, acquire, manage, and integrate communications-related data sources from a wide variety of sources; lead the preparation of best practices and key learnings on media/comms investment and message quality; and build/manage our most important advertising/communications insights measurement systems to drive impactful decision making. While it may not have direct reports, the position holds significant influence through matrixed and project-based leadership. This position will be a key member of the Marketing Communications & Marketing Experiences Intelligence team within the Global Enterprise Services organization's Marketing, CCL, PACS Intelligence Services team (MCPI).

What You'll Do for Us:

• Serve as marketing analytics subject matter expert for Campaign/Media Research Protocols; ensure statistical rigor, sound sampling logic, model validation and MLOps best practices are applied to uphold our data integrity and deliver compelling and trustworthy insights to senior stakeholders.
• Establish a standardized, interoperable data foundation; advance the adoption of TCCCs defined taxonomy and tagging protocols, develop and deploy feature store schemas in support of one source of truth of metrics across brands, regions and timeframes. Automate ingestion and quality checks of raw and first party datasets.
• Manage external data partnerships; by identifying new technologies for evaluation, negotiating contracts with vendors, establishing service levels, and integrating multiple data sources into one cohesive environment with proper Data Governance.
• Design, develop, and deploy predictive analytics products; uplift/business impact models, media mix modeling, causal inference frameworks, LLM-powered tools, to drive campaign effectiveness through optimization.
• Enable evidence-based decisions; by creating automated recommendation engines and scenario planning tools that improve the efficiency, impact, and sustainability of media and experience investments.
• Provide advanced analytics for prioritized Categories or Operating Units; interpret complex data sets and provide clear, actionable recommendations that drive measurable ROI and business impact.
• Document and scale data science best practices; sharing expertise on model design and feature engineering, prompt optimization, causal inference, etc., to drive adoption across brands, categories, and markets.
• Lead cross-functional and external teams of data engineers, analysts, researchers, and agency partners to build, deploy, and scale analytics models, pipelines, and insight solutions.
• Foster a culture of high-performance and innovation; by questioning the status quo, trialing emerging practices, fostering inclusive collaboration and targeted upskilling of team capabilities.

Qualifications & Requirements: Beyond technical expertise, we're looking for a collaborative, adaptable leader with strong interpersonal skills. The ideal candidate thrives in fast-paced, ambiguous environments, inspires diverse teams, and brings a growth mindset to problem-solving. They communicate complex ideas with clarity and drive innovation through influence, empathy, and strategic thinking.

Technical Leadership & Strategy

• Advanced Analytics Expertise: Proven deep expertise in causal inference, uplift/business impact modeling, media mix modeling, prompt engineering, LLM applications and core machine learning frameworks.
• Programming & Analytics Mastery: Expert-level SQL, Python, and R skills, with a track record of delivering scalable, production-ready analytical solutions.

Business Impact & Governance

• Data Governance & Compliance: Led development of global taxonomy standards/privacy frameworks/quality monitoring systems, horizontally and vertically aligned to regulatory and internal compliance needs.
• Reporting & Visualization: Implemented, designed and delivered enterprise-wide BI ecosystem using Power BI and led the technical teams to help deliver scalable Power BI dashboards.

Cross-Functional Leadership

• People Leadership: 3+ years in managing external teams or partners with a record of effectively mentoring, motivating and developing high-performing talent across various disciplines.
• Vendor & Partnership Management: Initiated and led strategic partnerships with cloud, analytics, and research vendors to drive impact on business through focused value-based metrics.

Strategic Communication & Innovation

• Executive Communication: Transform complex analytical findings into powerful compelling stories and visualizations for VP and C-suite level audiences, clearly depicting business value.
• Network Building: Establish and maintain cross-functional relationships with internal & external teams in data science, engineering and marketing to drive innovation and collaborations.
• Entrepreneurial Mindset: Demonstrated ability to excel within fast-paced and ambiguous environments by showing initiative to drive new solutions, using creativity and exhibiting strategic thinking.

Related Work Experience

• Five (5) or more years of progressive experience in data science, marketing analytics, consumer insights, and media measurement, with a proven track record of leading enterprise-scale analytics transformations.

Key Areas of Expertise

• Advanced Analytics Leadership: Led cross-functional teams in media mix modeling, causal inference, uplift modeling, and deployment of machine learning solutions at enterprise scale.
• Data Architecture & Governance: Designed and operationalized global data foundations, taxonomy standards, and regulatory compliance frameworks across diverse markets.
• Strategic Partnership Management: Sourced, negotiated, and managed high-impact partnerships across cloud, analytics, and research domains, driving measurable business value.
• Executive Reporting & Communication: Built automated BI environments and delivered complex analytical insights to VP and C-level audiences through compelling, actionable narratives.
• Change Management: Championed organizational adoption of advanced analytics through stakeholder engagement, cross-functional alignment, and scalable, repeatable solutions in matrixed settings.
• Technical Proficiency: Hands-on expertise in SQL, Python, and R, with experience leveraging cloud platforms and enterprise BI tools such as Power BI and/or Tableau.

Education Requirements

• Bachelor's degree required; Master's degree strongly preferred (e.g., MBA, MS in Data Science, Analytics, Business Intelligence, or related technical discipline).
• Committed to lifelong learning, with a strong track record of staying at the forefront of emerging AI/ML technologies, data science trends, and industry best practices.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills: Advanced Analytics, Advertising, Analytical Thinking, Brand Storytelling, Business Impact, Business Intelligence Dashboards, Business Intelligence Tools, Campaign Development, Category Insights, Causal Inference, Collaborative Leadership, Communication, Communication Campaign, Competitive Assessments, Consumer Research, Consumer Segmentation, Consumer Trends, Cross Functional Projects, Data Architecture, Data Governance, Data Modeling, Data Science, Data Visualization, Data Visualization Tools {+ 24 more}

Pay Range: $130,000 - $147,000 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: 15 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.