Own end-to-end facilities development outcomes across JAPAC programs, including new data center builds, expansions, retrofits, capacity upgrades, and customer-driven delivery.
Supervise Daily Operations: Direct the daily activities of data annotation team members, setting priorities to ensure task completion, SLA adherence, and seamless coordination across workstreams.
Understand the overall data landscape for Mercedes-Benz in the Region Overseas Market, including data ingestion, data transformation, data modelling, reporting and data science.
Build & Maintain Data Pipelines: Construct and manage end-to-end data pipelines and data warehouses integrating data across digital platforms, CMS, CRM, subscriptions, and advertising platforms.
Accountable for setting the enterprise direction, governance and value agenda for data. The role establishes organisation- wide policy, decision rights, operating models and investment priorities so that data are protected, trusted, accessible and responsibly used across corporate functions and core R&D business areas.
Bridge the gap: Work closely with Product, Engineering, and business leaders to turn big-picture goals into clear data science problems and trackable success metrics.
Design and implement scalable ETL/ELT pipelines on modern cloud data platforms - AWS (Glue, Step Functions, Lambda, S3), Databricks, Spark or Microsoft Fabric.