Job Description Summary:
Role overview
We are seeking a Technical Lead to define and drive the end-to-end technical vision, architecture, and delivery for a priority business domain and its portfolio of enterprise digital products within The Coca-Cola Company's global Digital organization. This is a high-impact, highly visible role at the intersection of software engineering, data science, machine learning, and product delivery. You will serve as the senior-most technical voice for the priority product domain and act as a strategic thought partner to Product Leadership and senior business stakeholders, as well as leading the day-to-day work.
The ideal candidate is a seasoned engineering leader who combines deep technical depth with judgment and communication skills to translate strategic product decisions into direction for engineers. You have built and scaled enterprise platforms in cloud environments, are fluent in modern data architecture, and know what it takes to take AI-powered products from concept to global enterprise deployment.
What You'll Do for Us
Strategic leadership: define and communicate the technical vision, architecture principles, and engineering roadmap for the priority domain, ensuring alignment with business objectives. Make key technical trade-off decisions that balance speed, scalability, maintainability, and long-term platform health
Technical delivery and resourcing: own the technical backlog for the priority domain and direct the day-to-day resourcing and capacity of the engineers supporting it. Prioritize technical work, assign engineers to initiatives, balance capacity across competing priorities, and ensure delivery commitments remain on track while proactively identifying and mitigating delivery risks
Day-to-day team leadership: provide technical leadership to the engineering team by setting clear direction, facilitating technical design discussions, conducting code reviews, and promoting engineering best practices. Remove technical blockers, foster collaboration across teams, support engineers in solving complex challenges, and cultivate a culture of continuous learning, accountability, and high engineering standards
Technical implementation: guide the design and implementation of technology solutions across the priority domain, ensuring engineering teams deliver secure, scalable, and production-ready applications, services, APIs, data pipelines, and AI/ML capabilities in accordance with enterprise architecture and engineering standards
Collaboration: serve as the cross-squad technical integration point for Analytics, Data and ML, Application Engineering, MLOps, and DevOps squads, resolving dependencies and unblocking delivery. Partner closely with the Product Manager as the technical counterpart for the domain, translating the product roadmap and priorities into sound technical plans and jointly owning trade-offs between scope, speed, and technical quality
Operational reliability: champion engineering best practices by driving code quality, testing, observability, security, performance, and operational resilience. Use engineering metrics and production insights to continuously improve system reliability, scalability, and developer productivity as products expand across markets
Requirements & Qualifications
10+ years of experience in software engineering, data engineering, or technical leadership roles
Demonstrated experience building and scaling enterprise platforms that incorporate ML models in production, ideally in cloud-native environments (Azure strongly preferred; AWS or GCP acceptable)
Deep fluency across the modern data and ML stack: data pipeline architecture, ML model training and serving infrastructure, MLOps practices, and CI/CD for both software and ML components
Strong software engineering foundation including hands-on experience with Python, familiarity with front-end and back-end application architecture (React, REST/GraphQL APIs, microservices), and code review proficiency
Proven ability to lead technical integration across multiple parallel engineering workstreams, managing dependencies, resolving architectural conflicts, and maintaining delivery velocity
Track record of communicating technical architecture and trade-offs to senior non-technical stakeholders, including VP and C-suite audiences
Experience writing and reviewing production-grade code; comfort going hands-on when squads need it
Demonstrated willingness to remain hands-on when it matters most, rolling up your sleeves to tackle complex challenges while coaching others to deliver at a high standard
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
Preferred Qualifications
Experience building platforms for global, multi-market deployment including data permissioning architecture and regional data governance considerations
Exposure to AI and generative AI platform architecture, including evaluation and deployment of generative AI components for enterprise use cases
Background in Consumer Packaged Goods, retail, or marketing analytics environments
Skills:
Agile Methodology, Application Development, Budgeting, Business Processes, Business Value Creation, Change Management, Decision Making, Financial Forecasting, Leadership, Long Term Planning, Microsoft Azure, Microsoft Office, Negotiation, Process Improvements, Risk Assessments, Risk Management, Software Development, Software Development Life Cycle (SDLC), Strategic Alignment, Strategic IT, Structured Query Language (SQL), Vendor Management, Waterfall ModelPay Range:
United States: 202,000 - 229,000 USDBase 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.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
September 18, 2026Our 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.Skills Required
- 10+ years of experience in software engineering, data engineering, or technical leadership roles
- Experience building and scaling enterprise platforms incorporating machine learning models in production
- Experience in cloud-native environments; Azure strongly preferred, AWS or GCP acceptable
- Fluency in data pipeline architecture, ML model training and serving infrastructure, MLOps, and CI/CD for software and ML components
- Hands-on Python experience
- Familiarity with front-end and back-end application architecture, including React, REST or GraphQL APIs, and microservices
- Production-grade coding and code review experience
- Experience leading technical integration across multiple engineering workstreams and resolving architectural conflicts
- Ability to communicate technical architecture and trade-offs to senior non-technical stakeholders, including VP and C-suite audiences
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
- Experience with global, multi-market platform deployment, data permissioning, and regional data governance
- Exposure to AI and generative AI platform architecture, evaluation, and enterprise deployment
- Background in consumer packaged goods, retail, or marketing analytics
The Coca-Cola Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Coca-Cola Company and has not been reviewed or approved by The Coca-Cola Company.
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Retirement Support — Retirement benefits are positioned as a standout, combining a 401(k) match with a company-funded cash-balance pension and an employee stock purchase plan match that together materially increase long-term package value.
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Healthcare Strength — Health coverage is described as broad and feature-rich, including national medical coverage plus specialized add-ons like virtual care, second opinions, oncology navigation, fertility support, and chronic-condition programs.
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Leave & Time Off Breadth — Time-off benefits are outlined with structured vacation accrual that increases with tenure and a holiday program that includes both set and floating days.
The Coca-Cola Company Insights
What We Do
The Coca-Cola Company (NYSE: KO) is a total beverage company, offering over 500 brands in more than 200 countries and territories. In addition to the company’s Coca-Cola brands, our portfolio includes some of the world’s most valuable beverage brands, such as AdeS soy-based beverages, Ayataka green tea, Dasani waters, Del Valle juices and nectars, Fanta, Georgia coffee, Gold Peak teas and coffees, Honest Tea, innocent smoothies and juices, Minute Maid juices, Powerade sports drinks, Simply juices, smartwater, Sprite, vitaminwater and ZICO coconut water.
