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Coca-Cola

Manager, RGM Segmentation & OBPPC Enablement

Coca-Cola is hiring a Manager, RGM Segmentation & OBPPC Enablement in Atlanta, United States. Level rates it ; you can apply on Coca-Cola.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions segmentation, data analysis and business case among its tools and skills.
  • Level classes it as a mid-level role.
  • Coca-Cola has 234 other open roles on Level.
  • Posted within the past week.

AI in this role

Provide analytical and enablement support for segmentation capabilities and OBPPC use cases using internal and external data.

segmentationdata-analysisbusiness-casedashboardsforecasting

Job Description Summary:

The Manager, RGM Segmentation & OBPPC Enablement will report to the Senior Director II, RGM Segmentation & OBPPC Enablement and provide the hands-on analytical and enablement support that powers the NAOU segmentation capability and its priority OBPPC use cases.


The role will conduct segmentation and opportunity analyses, size growth pools, develop business cases, maintain tools and dashboards, support pilots, and create decision-ready materials for RGM and Commercial partners. The Manager will work closely with the Director on analytical frameworks and with the Sr. Manager on routines, pilots, and adoption.


Key Responsibilities


  • Conduct consumer, shopper, occasion, channel, outlet, customer, geographic, and digital segmentation analyses using multiple internal and external data sources.
  • Size priority segments and growth pools and maintain fact bases, dashboards, and analytical tools used by the broader team.
  • Support affordability and premiumization use cases by analyzing entry-price thresholds, value-for-money needs, package roles, assortment, channel opportunities, and potential trade-offs.
  • Build business cases and scenarios covering volume, revenue, investment, incrementality, margin, profitability, cannibalization, and system value.
  • Prepare decision-ready analyses, visualizations, selling stories, and briefing materials for Portfolio OBPPC, Retail Strategy, Execution, bottlers, customers, and leadership routines.
  • Support pilot design and execution by defining baselines, success measures, measurement plans, test-versus-control comparisons, and post-pilot learning.
  • Maintain segmentation definitions, data dictionaries, use-case libraries, playbooks, and shared repositories to ensure consistent application.
  • Partner with data, finance, insights, digital, customer, and franchise teams to source data, resolve analytical gaps, and improve the quality of segmentation insights.
  • Track adoption and business-impact measures for priority use cases and surface gaps or opportunities to the Director and Sr. Manager.
  • Support capability materials, tools, workshops, and routines that enable teams to consistently apply segmentation.
  • Apply agile, test-and-learn methods and continuously improve tools, analyses, and enablement materials based on user feedback.

Success Measures


  • Accurate and timely segment sizing, opportunity analyses, and financial business cases.
  • Clear decision-ready materials that improve the quality and speed of segmented OBPPC choices.
  • Reliable tools, dashboards, definitions, and data documentation supporting consistent capability adoption.
  • Well-measured pilots with clear learning, incrementality, and scale recommendations.
  • Measurable analytical support for consumer reach, portfolio accessibility, incremental growth, and system value.
  • Strong partnership and responsiveness across segmentation, OBPPC, Retail Strategy, and Execution teams.

Required Qualifications


  • Bachelor’s degree in business, economics, marketing, finance, analytics, statistics, data science, or a related field.
  • 4–6 years of experience in Revenue Growth Management, consumer/shopper insights, commercial analytics, category management, finance, data analytics, or related disciplines.
  • Strong analytical and problem-solving capability with experience working across multiple datasets and translating findings into business implications.
  • Solid financial acumen and ability to build business cases and scenarios.
  • Working knowledge of segmentation, pricing, packaging, assortment, consumer/shopper behavior, or e-commerce.
  • Strong PowerPoint and Excel capability and experience with visualization/analytics tools such as Power BI, Tableau, SQL, Python/R, or comparable platforms.
  • Clear written and verbal communication and ability to work effectively across cross-functional teams.
  • Strong attention to detail, data quality, and analytical documentation.
  • Ability to manage multiple workstreams and deliver against deadlines.

Preferred Qualifications


  • Experience with household-panel, syndicated, retailer, digital, geospatial, or outlet-level datasets.
  • Exposure to OBPPC, affordability, premiumization, or price-pack architecture.
  • Experience supporting pilots, A/B tests, test-versus-control measurement, or commercialization learning agendas.
  • Experience in CPG, retail, e-commerce, beverages, or a complex franchise/system business.
  • Experience building dashboards, analytical tools, or reusable templates.
  • Leadership Capabilities
  • Analytical curiosity and attention to detail.
  • Bias for action and practical problem solving.
  • Ability to prioritize and manage multiple workstreams.
  • Collaborative working style and openness to feedback.
  • Clear communication and strong learning agility

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:

Pay Range:

: 0 - 0 USD

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.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

November 13, 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.

How we rate this

Manager, RGM Segmentation & OBPPC Enablement at Coca-Cola rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Skills and AI tools this role asks for

SegmentationData AnalysisBusiness CaseDashboardsForecasting

Questions you could be asked

  1. Tell me about a project where segmentation was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where business case was part of your work. What did you do?
  4. Tell me about a project where dashboards was part of your work. What did you do?
  5. Tell me about a project where forecasting was part of your work. What did you do?

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  • List these exact terms on your resume: Segmentation, Data Analysis, Business Case, Dashboards, and Forecasting. An applicant tracking system matches the wording, not the idea.
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