Manager, Data Engineer

Our Digital Transformation

The Coca‑Cola Company (TCCC) 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 The Coca-Cola Company 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.

Role 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, Commercial, and Digital teams.

Support business case development and value quantification for analytics initiatives.

Communicate complex analytical concepts in clear business language.

Train and enable business users on AI-driven decision-making tools.

Requirements and Qualifications

Education

Master's / Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related field.

Experience

5-8 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.

Demonstrated experience delivering AI and analytics solutions from ideation through production deployment.

Experience working with business stakeholders to solve commercial or operational problems using data.

Technical Skills

Traditional AI & Machine Learning

Supervised and Unsupervised Learning

Time Series Forecasting

Classification & Regression Models – knowledge of Bayesian is preferred

Ensemble Methods (Random Forest, XGBoost, LightGBM)

Deep Learning

Optimization (Pyomo, PuLP, scipy)

Model Explainability (SHAP, LIME)

Agentic AI & Generative AI

Large Language Models (LLMs)

Agentic AI Frameworks

RAG Architectures

Prompt Engineering

AI Orchestration

Multi-Agent Systems

Copilot and Enterprise AI Platforms

Technology Stack

Python

SQL

Azure AI Services

Databricks

Microsoft Fabric

Power BI

Git

MLFlow

MLOps Tooling

What We’ll Do For You

Innovation & Technology: You will have the opportunity to work with an award-winning team that is on the cutting edge of innovation.

Exposure to World Class Leaders: You will have access to global technology leaders that will your network and expose you to emerging technologies and techniques.

Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate, and innovate.

Location(s):

Singapore

City/Cities:

Singapore

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

September 29, 2026

Our 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.

Annual Incentive Reference Value Percentage:15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.