About the role
The HAECO Group is an independent global provider of high-quality MRO services. We offer a broad range of aviation products and services that enable our customers to operate their aircraft, engines and components safely and efficiently. Headquartered in Hong Kong since 1950, our global reach has extended as we have grown. We now have operations throughout the Asia-Pacific region, Americas and other parts of the world.
Based at Hong Kong International Airport (HKIA), HAECO Hong Kong offer a full range of services including airframe services, line services, component services, engine services, freighter conversions, technical training and AOG support.
Position Description
As a member of the ERP Solutions team, the Assistant Manager, Data & Analytics is responsible for supporting the development and day-to-day management of HAECO TT’s enterprise data architecture, data governance framework, and information management practices.
The role acts as the primary bridge between TT and Group IT’s Data Platform Programme, ensuring local business requirements, analytics needs, reporting priorities, operational data requirements, and AI initiatives are aligned with the enterprise data strategy.
The role supports the development of data governance, ownership, stewardship, quality, metadata, lineage, and analytics readiness capabilities to establish trusted, reusable, and scalable enterprise data assets that support business operations, reporting, analytics, and future AI adoption.
What You'll Do
Support the definition and maintenance of enterprise data architecture principles, standards, patterns, and governance frameworks across operational, reporting, analytics, and AI environments.
Support and help mature data governance practices covering data ownership, stewardship, metadata management, lineage, quality management, and lifecycle governance.
Act as a key coordination point between TT and Group IT Data Platform Programme to ensure alignment of local and enterprise data strategies.
Improve analytics readiness by strengthening data quality, consistency, availability, accessibility, and reusability across the organization.
Support AI data readiness assessments coverin…
