Manager, Data Engineer

Summary: Our Digital Transformation The Coca‑Cola Company is evolving into a more digital‑first, data‑driven enterprise to fuel sustainable growth, increase speed to market, and unlock new sources of value. Rapid advances in technology, data, and AI create a unique opportunity to accelerate the KO system’s next chapter of growth by reimagining our core competitive advantages. Building on a strong foundation of modernized infrastructure, global digital experiences, early data capabilities, and proven use cases, we are now shifting from early wins to scaled, end to end impact on growth, productivity, and efficiency. This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success will require more than technology implementation, it demands a strategic transformation of core capabilities, a domain based, product centric operating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams.

Overview The Manager, Data Science will be responsible for developing and deploying advanced analytics, machine learning, and Agentic AI solutions that drive business performance across the ASEAN & South Pacific (ASP) Operating Unit. This role combines strong technical expertise in predictive and prescriptive analytics with the ability to partner closely with business stakeholders to solve commercial, marketing, financial, and strategic challenges. The successful candidate will lead the end-to-end delivery of AI-powered analytical products, from problem framing and model development to deployment, adoption, and value realization. The role will play a key part in advancing the ASP OU's vision of becoming a data-driven and AI-enabled organization by leveraging both traditional AI/ML techniques and emerging Agentic AI capabilities. What You will do for us Predictive & Prescriptive Analytics Develop predictive models that support revenue growth, market share acceleration, demand forecasting, customer growth, and commercial effectiveness. Design prescriptive analytics solutions that recommend optimal business actions and resource allocations. Apply advanced statistical, machine learning, and optimization techniques to address complex business challenges. Translate analytical findings into practical business recommendations for OU and market leadership teams. AI & Machine Learning Solutions Delivery Build, validate, and deploy machine learning models across commercial, marketing, finance, strategy, and franchise domains. Develop scalable AI solutions leveraging structured and unstructured enterprise data. Continuously improve model accuracy, performance, explainability, and business relevance. Support Productionization of AI solutions through collaboration with external partners. Agentic AI Enablement Design and implement Agentic AI solutions that automate analysis, insight generation, and business decision support. Develop AI agents capable of reasoning across multiple data sources and analytics products. Implement Retrieval-Augmented Generation (RAG), orchestration frameworks, and decision-support agents. Partner with business teams to identify high-value use cases where autonomous or semi-autonomous AI agents can improve productivity and decision quality. Contribute to the evolution of AI-enabled business processes and self-service analytics capabilities. Analytics Product Development Translate business requirements into scalable analytics products. Support development of reusable models, analytics frameworks, and AI accelerators. Partner with Product Managers, Data Engineers, and Business SMEs in agile delivery teams. Ensure solutions deliver measurable business outcomes and drive user adoption. Stakeholder Partnership Collaborate with cross-functional stakeholders across Strategy, Franchise, Finance, Marketing,