Senior Manager, Category Leadership - Predictive Modeling

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

June 19, 2025

Shift:

Job Description Summary:

Role: Senior Manager, Category Leadership - Predictive Modeling (R-123873)

Primary Job Location: (USA) Candidates must be currently located in or willing to relocate to the Atlanta, Georgia area.

Travel: This role requires up to 25% travel, with an expectation to be in the office 3 days a week (Tuesdays, Wednesdays, Thursdays).
Education: A Bachelor’s degree is required; a Master’s degree in data science is preferred.

POSITION OVERVIEW

The Sr Manager Category Leadership Capabilities-Predictive Modeling will be responsible for analyzing large and complex data sets to derive actionable insights that drive business growth and efficiency. You will collaborate with cross-functional teams to implement data-driven solutions that enhance our category leadership and sales strategic initiatives across the Coca-Cola System.

The primary data sets this role will work with are Shipment, Point of Sale, Planogram data, Panel Metrics, and Loyalty Card Metrics. 

Additional job functions will include the maintenance of current Category Business Intelligence tools.

What You'll Do For Us

Key Responsibilities:

• Collect, process, and analyze large data sets using statistical techniques and machine learning algorithms.

• Develop predictive models to forecast sales, customer behavior, and market trends.

• Collaborate with overall Category Leadership organization,  category leadership Capabilities, channel, franchise, sales, and RGM

• Create data visualizations and dashboards to communicate insights to stakeholders.

• Design and implement experiments to test hypotheses and measure the impact of business initiatives.

• Stay up-to-date with industry trends and best practices in data science, machine learning, and artificial intelligence.

• Document processes and methodologies to ensure reproducibility and scalability of analyses.

What You'll Need

Education: Minimum Required Bachelor’s Degree is required:  MBA or other graduate degree

EXPERIENCE

Minimum Required: 

• 3+ Years in the CPG Industry or an MBA in data science or business analytics

• Technical knowledge

  • Power BI/Tableau

  • Dax Programing

  • M Programing

  • Alteryx/Power Automate

  • Excel Expert

  • Python

  • C#

  • Java

  • R

Qualifications:

• Proficiency in programming languages such as Python or R.

• Experience with data manipulation and analysis tools (e.g., SQL).

• Knowledge of machine learning algorithms and frameworks

• Strong problem-solving skills and attention to detail.

• Excellent communication and presentation skills, with the ability to convey complex findings to non-technical audiences.

• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Level:

• 5+ Years in the CPG Industry

Preferred Qualifications:

• Proven experience as a Data Scientist or similar role in the CPG industry (preferred).

• Experience with data visualization tools (e.g., Tableau, Power BI).

• Familiarity with big data technologies

• Understanding of A/B testing and experimental design.

• Experience with cloud computing platforms (e.g., Azure).

​What We'll Do For You

• Iconic Brand Experience: Join the team behind the world's most recognized brand and play a pivotal role in shaping its next chapter. Your contributions will resonate globally as you drive transformative, innovative projects.
• Leadership Exposure: Engage with world-class leaders and gain unparalleled access to a network of influential global marketing experts, providing you with insights into emerging digital platforms and cutting-edge marketing strategies.
• Continuous Learning and Development: Thrive in a culture that cherishes lifelong learning. Access resources like Coke University and LinkedIn Learning, as well as bespoke management programs that are designed to enrich your professional growth and expand your expertise.

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.

Skills:

Actionable Insights, Alteryx, Artificial Intelligence (AI), Big Data, Communication, Data Driven, Data Science, Datasets, Data Visualization, Data Visualization Tools, Machine Learning Algorithms, Microsoft Excel, Predictive Modeling, Tableau (Software)

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.

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.