Senior Director, Software Engineering

The Coca-Cola Company
Atlanta, GA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Distributed Systems Software Architecture Systems Development Life Cycle Azure Machine Learning Software Engineering Cloud Platform System Large Language Models Reliability of Systems Generative AI
+1 more
Information Technology

Job description

Experteer Overview In this role you lead a global, distributed engineering organization to deliver MarTech, AdTech, and customer-focused platforms. You own engineering strategy, architecture, and execution across a large portfolio, partnering with product management and design to drive measurable business outcomes. You’ll champion Generative AI across the full SDLC, enabling AI-enabled delivery at scale while maintaining reliability and performance. You’ll influence executive stakeholders and shape a durable, modern product engineering culture. Compensation / Benefits * Lead a globally distributed engineering organization under the Product Operating Model, accountable for product and platform outcomes across MarTech and AdTech * Build empowered teams solving business problems end-to-end from discovery to delivery and continuous improvement * Recruit and develop top engineering talent, fostering a culture of technical excellence and learning * Establish engineering standards, rhythms, and accountability aligned to business outcomes * Own end-to-end development for the MarTech and AdTech portfolio globally, ensuring quality, reliability, and speed * Partner with Product Management and Product Design in a one-team model to solve meaningful problems * Drive measurable outcomes including business impact, system reliability, performance, and consumer experience * Define and evolve technical strategy, architecture, and practices for scalable, resilient, and secure platforms * Balance build vs. buy decisions with a long-term perspective to ensure durability and operability * Lead Generative AI adoption across the full SDLC and product portfolio, enabling AI-enabled delivery and decisioning at scale * Serve as a trusted technical advisor to senior leaders and translate technical concepts into business implications * Communicate strategy, risks, and investment needs to executives with clarity and credibility * Influence enterprise technology direction and align with business strategy and architecture Tasks * 15+ years of progressive engineering experience with senior leadership roles * 5+ years leading engineering orgs within a Product Operating Model or similar * 5+ years guiding organizational transformation and modernization at scale * 10+ years building and scaling high-performing engineering teams including managers and tech leads * Strong collaboration with Product Management and Product Design in empowered teams * Deep expertise in modern software architecture, distributed systems, and platform engineering * Proficiency in cloud architectures (AWS/Azure), scalability, resiliency, and operational excellence * Track record delivering enterprise-scale platforms, ideally in MarTech/AdTech and consumer digital products * Demonstrated GenAI leadership with measurable business impact; familiarity with AI/ML platforms, LLM integration, RAG, and governance for scalable AI deployment * Ability to communicate complex technical topics to executives; calm, clear leadership under pressure * Bachelor’s degree in engineering, computer science, or related field; advanced degree preferred Key requirements * medical benefits * financial benefits * annual incentive (50% reference) * long-term incentive (20% reference) * global opportunities * agile work environment

Requirements

_ strategy and architecture Tasks * 15+ years of progressive engineering experience with senior leadership roles * 5+ years leading engineering orgs within a Product Operating Model or similar * 5+ years guiding organizational transformation and modernization at scale * 10+ years building and scaling high-performing engineering teams including managers and tech leads * Strong collaboration with Product Management and Product Design in empowered teams * Deep expertise in modern software architecture, distributed systems, and platform engineering * Proficiency in cloud architectures (AWS/Azure), scalability, resiliency, and operational excellence * Track record delivering enterprise-scale platforms, ideally in MarTech/AdTech and consumer digital products * Demonstrated GenAI leadership with measurable business impact; familiarity with AI/ML platforms, LLM integration, RAG, and governance for scalable AI deployment * Ability to communicate complex technical topics to executives; calm, clear leadership under pressure * Bachelor’s degree in engineering, computer science, or related field; advanced degree preferred Key requirements * medical benefits * financial benefits * annual incentive (50% reference) * long-term incentive (20% reference) * global opportunities * agile work environment

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