Innovation Tech Lead

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   D igital 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