Senior Manager, Application & Machine Learning Engineer - Fuelight

Description

You will join the Product Engineering team in the Digital Product & Engineering organization of the Global Digital Network, reporting to the Senior Director, Engineering Excellence Lead.

The role leads work on Fuelight, the company's product for allocating resources and optimizing investment across marketing, trade, and commercial spend. It uses analytics, machine learning, scenario planning, and AI-supported decision tools. Fuelight is an always-on, globally scalable product that brings together business data, predictive models, optimization, and decision intelligence for teams across the company's system.

The company has operated for 130+ years. You will work with Product Managers, Data Scientists, Data Engineers, Business Science teams, and Operating Unit stakeholders to turn analytical models into trusted, enterprise-grade applications that people adopt and that deliver measurable value.

Responsibilities

• Design, build, and improve Fuelight applications for investment optimization, resource allocation, scenario planning, and decision intelligence.
• Build and run machine learning capabilities for predictive modeling, investment recommendations, performance evaluation, and optimization.
• Work with engineering teams to turn analytical models into production-grade digital products.
• Design scalable application architectures that let Fuelight grow across markets, operating units, bottling partners, and business processes.
• Design user experiences that help business users read model outputs, weigh tradeoffs, and decide with confidence.
• Set up MLOps for model deployment, monitoring, governance, retraining, observability, and lifecycle management.
• Build AI-enabled features that raise user productivity, speed up insight generation, and support data-driven decisions.
• Combine data products, forecasting, optimization engines, and business-rule frameworks into one product experience.
• Support explainable AI and model transparency, including features that show users the drivers, assumptions, recommendations, and outcomes behind results.
• Work with Marketing, Finance, Commercial, Franchise, Revenue Growth Management, and Bottler teams to ship enhancements that match business priorities.
• Create engineering standards, reusable frameworks, and best practices that improve quality, reliability, maintainability, and delivery speed.
• Assess emerging technologies, AI capabilities, and engineering approaches that could strengthen the platform.
• Make sure solutions meet enterprise architecture, cybersecurity, privacy, responsible AI, and governance requirements.
• Help drive adoption and scale by working with global teams to improve performance, usability, and business value.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, Information Systems, or a related technical field.
• 8+ years in software engineering, application engineering, digital product development, or enterprise technology delivery.
• 4+ years developing, deploying, and supporting machine learning or AI solutions in production.
• Experience building cloud-native, data-intensive applications with modern engineering practices and scalable architectures.
• Strong skills in machine learning engineering, predictive modeling, optimization, and decision-support applications.
• Experience running machine learning through MLOps, CI/CD pipelines, model monitoring, automated testing, and deployment automation.
• Solid understanding of APIs, microservices, distributed systems, event-driven architectures, and enterprise application integration.
• Experience building products that use advanced analytics, forecasting, optimization, recommendation engines, or scenario planning.
• Ability to turn complex analytical concepts into intuitive user-facing applications.
• Experience working in product-centric, Agile delivery models with cross-functional global teams.
• Knowledge of responsible AI, model explainability, governance frameworks, cybersecurity requirements, and data privacy principles.
• Strong collaboration across engineering, data science, product management, and business functions.
• Digital fluency, data literacy, and AI fluency, plus the ability to assess and adopt emerging technologies that create business value.
• Strong communication, problem-solving, and stakeholder management.
• Preferred: experience supporting globally scaled digital products across multiple markets, customer groups, or business functions.
• The company will not sponsor employment status, including H1-B and other employment-based nonimmigrant visas, for this position. All applicants must already be authorized to work in the United States on a full-time basis and must not need the company's sponsorship to keep working legally in the United States.
• Skills and tools: Budget Management, Communication, Data Analytics, DOT Regulations, Group Problem Solving, JDA (Inactive), Microsoft Office, Microsoft Power Business Intelligence (PBI), Oracle Transportation Management, SAP Manufacturing Execution (SAP ME), Supply Chain, Tableau (Software), Transportation Logistics, Transportation Management Systems (TMS), Transportation Planning.

Conditions

Pay range in the United States: 152,000 - 178,300 USD. Base pay may vary by geography, job-related knowledge, skills, and experience.

Location: Atlanta, United States of America.

Travel: 00% - 25%. Relocation is not provided.

Annual incentive reference value: 15%. This is a market-based value for the role, set at the middle of the range, which reflects performance at target.

The posting closes November 6, 2026.

The company is an Equal Opportunity Employer and does not discriminate on any protected basis under federal, state, or local law.

Benefits

• A full range of medical, financial, and/or other benefits is offered, depending on the position.