Senior Manager, Global Marketing

The Coca-Cola Company is transforming the way we leverage data to power global marketing and Customer & Commercial Leadership (CC&L). We are building a more connected human-centric approach to research, measurement, and partnerships – designed to deliver distinctive, market -leading insights and analytics.

As a key contributor in this transformation, the Senior Manager will drive strategic analysis of consumer behavior, from consumption patterns to purchase trends. You will lead development of best-in-class analytics capabilities across the enterprise, collaborating closely with Consumer, CCL, and Category teams to turn data into actionable strategies that fuel growth.

This is a high-impact role for a data-driven leader who is passionate about combining analytics expertise with a deep understanding of consumers and markets.

Key Responsibilities

• Responsible for driving & providing marketing analytics and building next-generation of ad-hoc marketing analytic capability across the enterprise.
• Provide ad hoc analysis based on standardized templates at speed and to scale.
• Develop refreshed protocol for all marketing Ad Hoc analytics and systematic approach to derive and share comprehensive worldwide insights from ad hoc research.
• Build real time ad hoc analytic capability working closely with the Platform Services data team and in partnership with Center and OU Insights & Marketing teams.
• Develop next-generation global standards for marketing analytics.
• Enhance investment optimization through improved models.
• Increase efficiency of data and analytics resources by introducing advanced analytics, AI & Machine Learning technology, improving accuracy, actionability, efficiency and user adoption.
• Lead partnership with the hub data and analytics teams, the other platform service hubs to assess and upgrade analytics through refreshing metrics and developing innovative measurement frameworks.
• Serve as subject matter expert for Artificial Intelligence and Machine Learning analytics.

Qualifications & Requirements

• Knowledge & experience in consumer, shopper and channels tracking and analytic tools will be a strong advantage, as well as in shopper/retail syndicated tools
• Hands-on experience in modern marketing analytics, advance analytics and data modelling, Gen AI application to consumer and shopper tracking tool data and analytics (synthetic data, etc).
• Must be well versed in research and advanced analytics (segmentation, performance drivers modelling, pricing/promotional effectiveness, in-store execution, category management). High knowledge and understanding of Household Panel and Consumer Tracking solutions.
• Knowledge of and ability to interpret and apply data and insights to inform TCCC's brand strategy and programs.
• Cross Functional Relationships: Knowledge of and ability to articulate to senior management the benefits of supporting cross-functional objectives to achieve the business plan.
• Candidate must have strong analytics experience and be well versed in storytelling from data, translating analytics into actionable outcomes, with ability to simplify complex analysis to communicate the "so what" for the business.
• SME level experience and applied knowledge of insights and analytics as well as retail measurement service and household panel data.

Related Work Experience

• 5 years' experience in the following:
• Managing cross-functional relationships across Marketing, Finance, and Information Technology (IT) within a complex, global environment.
• Translating analytics into data-driven insights to guide business planning processes.
• Working with statistics and exploratory data analysis pertaining to the Consumer-Packaged Goods Industry data, including consumer survey data and syndicated retail data derived from Consumer Tracking (BEACH), Household Panel, Nielsen RMS, etc.
• Working with Power Bl and SQL.
• 2 years' experience in the following:
• Programming languages such as R, Python, SQL, Azure ML, Synapse…
• Ability to perform advance statistical analysis (SPSS, R, etc.)
• AI/Gen AI application to consumer and shopper data and analytics

Education Requirements

• Bachelor's Degree in Data Science/Business Advanced Analytics or similar background.
• BA or Advanced Degree required.

Skills

• Analytical Thinking, Brand Positioning, Brand Storytelling, Channel Management, Channels Strategy, Communication, Competitive Assessments, Consumer Segmentation, Consumer Trends, Decision Making, Digital Media Strategy, Group Problem Solving, Leadership, Market Research, Media Planning, Microsoft Office, Quantitative Research, Retail Marketing Strategy, Social Media Strategies, Syndicated Research, SPSS, Python, R, SAS, SQL, Azure ML, Synapse…

What We Can DoForYou

• Iconic Brand: Work on the most recognized brand in the world and be part of developing the brands next chapter.

• Exposure to World Class Leaders: Availability to global marketing leaders that will expand your network and exposure you to emerging digital platforms and marketing insights.

• Creative Team Culture: Be inspired by the best brand leaders and agencies in the world, which creates a creative culture that supports taking risks and innovation.

Skills

Media Planning; Consumer Trends; Collaborative Leadership; Consumer Segmentation; Competitive Assessments; Digital Media Strategy; Quantitative Research; Channels Strategy; Waterfall Model; Microsoft Office; Brand Positioning; Group Problem Solving; Social Media Strategies; Communication; Decision Making; Syndicated Research; Brand Storytelling; Retail Marketing Strategy; Channel Management

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.

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.