Director, Digital Operations
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+4 more
Job description
Experteer Overview In this role you own and deliver a flagship MarTech product end-to-end, from discovery to continuous improvement. You lead a global product engineering team and collaborate with Product Management, Data Services, and marketing stakeholders to ensure reliable, scalable solutions that drive business value. You will drive AI-native delivery, data discipline, security, and cost governance across the MarTech stack. This is a hands-on leadership position with a strong emphasis on architecture, delivery velocity, and cross-functional influence. You’ll work to transform marketing technology at scale within Coca-Cola’s global organization. Compensation / Benefits * Own end-to-end engineering and delivery of a large-scale MarTech product (CDS or GAM) from concept to run and optimization * Lead a global, high-performing team of full-stack engineers, architects, and product owners across delivery centers * Develop and maintain the technology roadmap aligned to Coca-Cola brand marketing strategies * Coach and develop engineering talent, setting standards for excellence and accountability * Manage external partners and third-party integrations with a focus on quality, security, and value * Act as the subject matter expert across architecture, agile development, and large-scale deployments * Communicate with marketing stakeholders about initiatives, AI innovations, risks, and dependencies * Partner with Data Services on the Marketing Data Lake, first-party data, and identity resolution * Champion modern engineering practices: CI/CD, observability, SRE/SLOs, and responsible AI adoption * Drive AI-native engineering, improve throughput and quality with AI-assisted development while maintaining human oversight * Evolve data foundations with vector databases and retrieval-augmented generation for personalization and search * Ensure AI-era security and governance, addressing prompt injection, data poisoning, and model hallucination * Apply FinOps to AI workloads and optimize token usage, caching, and compute balance * Collaborate with agency partners and support the Marketing Transformation Office agenda Tasks * 15+ years in software engineering with 5+ years building consumer-facing digital platforms and 8+ years in enterprise MarTech * Proven product ownership, leading end-to-end outcomes within a modern Product Operating Model * Global team leadership with experience managing in-house and vendor engineers * Strong MarTech & AdTech credibility with emphasis on first-party data and identity resolution * Cloud/DevOps depth with AWS or Azure and CI/CD practices * Hands-on AI-native engineering experience preferred: LLM integration, vector databases, RAG, edge compute * Security and governance expertise, including prompt injection and data poisoning risk management * Excellent written and verbal communication, able to simplify complex tech for marketers and executives * Leadership presence, collaboration across regions, and engagement from architecture reviews to executives * Bachelor’s degree in engineering, computer science or related field; advanced degree preferred Key requirements * medical benefits * financial benefits * annual incentive * global exposure * growth culture * inclusive workplace
Requirements
optimize token usage, caching, and compute balance * Collaborate with agency partners and support the Marketing Transformation Office agenda Tasks * 15+ years in software engineering with 5+ years building consumer-facing digital platforms and 8+ years in enterprise MarTech * Proven product ownership, leading end-to-end outcomes within a modern Product Operating Model * Global team leadership with experience managing in-house and vendor engineers * Strong MarTech & AdTech credibility with emphasis on first-party data and identity resolution * Cloud/DevOps depth with AWS or Azure and CI/CD practices * Hands-on AI-native engineering experience preferred: LLM integration, vector databases, RAG, edge compute * Security and governance expertise, including prompt injection and data poisoning risk management * Excellent written and verbal communication, able to simplify complex tech for marketers and executives * Leadership presence, collaboration across regions, and engagement from aaaaaaaaaa
- reviews to executives * Bachelor’s degree in engineering, computer science or related field; advanced degree preferred Key requirements * medical benefits * financial benefits * annual incentive * global exposure * growth culture * inclusive workplace
About the company
Experteer Overview In this role you own and deliver a flagship MarTech product end-to-end, from discovery to continuous improvement. You lead a global product engineering team and collaborate with Product Management, Data Services, and marketing stakeholders to ensure reliable, scalable solutions that drive business value. You will drive AI-native delivery, data discipline, security, and cost governance across the MarTech stack. This is a hands-on leadership position with a strong emphasis on architecture, delivery velocity, and cross-functional influence. You’ll work to transform marketing technology at scale within Coca-Cola’s global organization. Compensation / Benefits * Own end-to-end engineering and delivery of a large-scale MarTech product (CDS or GAM) from concept to run and optimization * Lead a global, high-performing team of full-stack engineers, architects, and product owners across delivery centers * Develop and maintain the technology roadmap aligned to Coca-Cola aaad
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on us.experteer.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Dev Digest 120 - Apple and peers
Navigating the AI Shift
MLOps – What’s the deal behind it?
Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence