Leading the Coca-Cola AP & CN Zone Account Strategy by developing and executing regional growth plans that align with global account objectives and deliver sustainable business results.
Design, evaluate, and enhance course curricula, and co-develop training content with industry partners to ensure relevance to evolving AI industry needs.
Manage regulatory information responses and reporting — Own end-to-end management of responses to regulatory inquiries, statutory information requests, investigations, and consultations across APAC. Coordinate the preparation and delivery of transparency and compliance reports for the region, ensuring responses are accurate, consistent, and on-time
CRM & Lifecycle Marketing: Deep, hands-on experience designing and executing programs across the full customer journey. Builds segmentation logic, personalisation strategy and automated flows anchored in commercial outcomes, not just campaign execution.
Knowledge of Technology: Demonstrates a foundational knowledge of technology concepts and applications and how they can be applied to solve real-world problems.
Identify and prioritize AI opportunities: Understand user needs and pain points across onboarding, employee services, performance management, and other People workflows. Shape product direction and priorities based on business value, user impact, and technical feasibility.
Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).
Provide support for establishing and maintaining the quality management system for Global Logistics to be compliant with international standards/ regulations and GetQMS directives.
Oversee the various line of efforts with the multifaceted teams, including the research, product management, data science, to curate and chart AI strategies for the respective Centres of Excellence (COEs)
Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.