Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Yes

Job Posting End Date:

June 17, 2025

Shift:

First Shift (United States of America)

Job Description Summary:

ROLE PROFILE

Sr. Manager, Supply Chain Optimization

Reports to Sr Director Supply Chain Optimization and Infrastructure Planning

KEY WORKING PARAMETERS

Focus, Scope, & Impact:

As The Coca-Cola Company’s ambition to provide Beverages for Life and our North America’s portfolio continues to become more complex to keep up with changing consumer taste, our supply chain and operations must be able to keep up with building new capabilities and evolve, while sustaining our base business. The Company’s focus on both the topline growth (Net Revenue) and bottom-line growth (Operating Income) emphasizes the importance of planning, optimizing our supply chain, and constantly evolving to become as effective and efficient as possible.

NAOU’s manufacturing landscape has / is changed significantly over the last year and will continue to change as we move towards an “asset right” strategy. The Sr. Manager Supply Chain Optimization is a strategically critical role that aims to use optimization and supply chain modeling to assist in understanding capacity and cost savings opportunities across all time horizons (3 months – 10 + years). This role will drive S&OP, transition and infrastructure modeling.

To assist in these efforts this position will require development and maintenance of optimization models to answer strategic for cross-functional partners in engineering, commercial, finance and contract manufacturing through translation of model results into clear and concise presentations. This position will also maintenance and modification our data workflows into our optimization modeling software as business requirements evolve.

Primary Responsibilities:

Rolling Estimate Modeling: Lead rolling estimate modeling process

Utilize LLamasoft / Coupa’s Supply Chain Guru  or other optimization tools to develop / maintain multi-period optimization models to drive material procurement, warehouse, transportation, and manufacturing requirements planningWork cross-functionally with planning, co-manufacturing, finance and transportation to gather and analyze supply chain data such as production capacity, manufacturing run rates, manufacturing costs and transportation costs to refine rolling estimate modeling inputs to drive improved accuracy in outputsCo-lead NAOU NOW (Network Optimization Wiring) meetings to discuss month to month changes in rolling estimates and interpret / explain changes in output to cross-functional team membersAct as optimization’s point of contact to supply planning team to assist in scenario development and modelingAct as key voice for optimization teams capacity stages and gates process to bring projects into rolling estimate / S&OP processLeverage results from optimization outputs to develop clear and concise presentations for S&OP routines for 3-12 month capacity outlookServe as Optimization and Supply Chain modeling SME to help tackle ad-hoc analyses and requests as they come from planning teamMust be able to manage multiple complex initiatives simultaneously and independently

Transition Modeling: Develop / Maintain transition models for key additions / changes to capacity in the NAOU network

Work cross-functionally with engineering, co-manufacturing to gather and analyze supply chain data such as implementation plans, forecasts, freight costs, manufacturing costs, capital requirements and production capacity to develop supply chain modelsUtilize LLamasoft / Coupa’s Supply Chain Guru or other optimization tools to develop multi-period optimization models to develop inventory build transition plans, optimal customer sourcing for new sites and potential supply gaps during transitionsAct as an extension of the supply planning team in major transitions to develop actionable plans with ability to react to changes in parameters in an agile mannerLeverage results from optimization outputs to develop clear and concise presentations / recommendations to share across cross-functional partners (finance, planning, co-manufacturing, transportation, commercial, etc.) and senior leadership to evaluate options in times of transitionDefine current / future inventory targets based on changes to sourcing / available capacity in the network

Infrastructure Planning / Modeling: Collect Data, develop and maintain models, and present findings to cross-functional partners

Co-manage Long Range Planning (LRP) process with demand planning to develop multi-year (3-10 years) supply vs. demand outlookWork cross-functionally (category teams, demand planning, finance, co-manufacturing, supply planning etc.) to develop regional supply vs. demand gaps to develop yearly capital investment roadmapDevelop Greenfield models to determine where future infrastructure projects should goEstablish future state warehouse requirements based on changes to inventory requirements and changes to WHS strategy (e.g. warehouse consolidation / new warehouses in the system)Leverage results from analysis to develop clear, concise, and compelling presentations to establish future needs for investments in capacity and supporting infrastructure

Re-tool model data workflows: Refine and automate current data-flows to optimization software with new tools and systems

Work cross-functionally with platform services and capability and analysis center of excellence (CAPCOE) to maintain and modify data flows as system changes occur (particularly S4)Train and maintain updated workflow within Capacity planning team and cross-train with CAPCOE to ensure redundancy in processDevelop new features to work-flow as new requirements and automation opportunities arise

Training and Development: Train, mentor and coach Optimization managers and interns

Develop and update training materials and on-boarding scheduleProvide coaching on projects and work to analysts and interns, work collaboratively with rest of E2E planning teamMentor and coach Senior Capstone Students from Georgia Tech and other universities

KEY SUCCESS PARAMETERS

Experience

Bachelor’s Degree in Industrial Engineering, Operations Research, Supply Chain3-7 years of experience in areas like Finance, Supply Chain modeling, logistics, Manufacturing, or network optimizationExperience in consulting is preferredExperience with Optimization Technologies Preferred (Llamasoft, Supply Chain Strategist, profit point, AIMMS, River Logic, etc.)Experience with Complex Database Design and Data Transformation and Automation PreferredExperience with Tableau Visualization, PowerBI Preferred

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:

Pay Range:

$114,000 - $139,000

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.