We are seeking a Data Delivery Manager to architect and deliver high-impact data products in our logistics domain. This role demands deep technical expertise in cloud data platforms and to be the technical authority driving execution excellence across our data initiatives.
Key Responsibilities
Own technical delivery of end-to-end data & analytics projects on cloud platforms (Databricks, AWS, Azure, GCP) Architect data solutions - design scalable data pipelines, warehouses, and real-time analytics platforms for logistics use cases Drive technical standards - establish and enforce engineering best practices, code quality, and platform governance Lead technical teams - manage data engineers, architects, and analysts through complex delivery cycles Bridge business & engineering - translate complex logistics requirements into technical data architectures and delivery roadmaps
Ensure platform excellence - maintain data quality, performance optimization, and scalability across cloud data platforms
Need to Haves
Deep technical expertise in cloud data platforms Proven track record delivering complex data products - data lakes, warehouses, ML pipelines, real-time streaming Strong engineering background - ability to code review, architect solutions, and lead technical decisions Advanced SQL & Python - hands-on experience with data engineering and analytics development Cloud architecture - expertise in distributed computing, data modeling, and platform design
English fluency to lead meetings and conversations with global teams
Nice to Haves Logistics domain expertise - supply chain data models, inventory analytics, transportation optimization Modern data stack - Kafka, Airflow, dbt, Spark, ML platforms, real-time processing Data governance - experience with data cataloging, lineage, and quality frameworks
Agile technical delivery - Jira, Confluence, technical sprint planning, CI/CD for data