Airline Data Manager

6 days ago

Thoothukudi, Tamil Nadu, India beBeeDataManagement Full time US$ 80,000 - US$ 1,50,000
Data Management Role Overview

You will be responsible for leading the design, implementation and governance of data assets across the aviation business.

This role requires ensuring data is structured, accessible and trusted to support operational excellence and strategic decision-making in a fast-paced, cloud-first environment.

Key Responsibilities:
  • End-to-end data lifecycle management from acquisition and modelling to cataloguing and governance.
  • Design and maintain complex data models that support aviation operations and analytics.
  • Metadata and data catalogue tools management to ensure discoverability and lineage tracking.
  • Delivery of scalable and secure data products on cloud platforms such as AWS or Azure.
  • Foundational data transformation techniques application using SQL and Python to prepare data for consumption.
  • Cross-functional teams collaboration to define data requirements and ensure alignment with business goals.
  • Championing data quality, integrity and compliance across systems and processes.
Required Qualifications and Skills
  • Proven experience in data management and governance across all stages of the data lifecycle.
  • Deep understanding and hands-on experience with complex data modelling techniques.
  • Proficiency in metadata management and data cataloguing tools.
  • Demonstrated delivery of data products within cloud ecosystems (AWS or Azure).
  • Strong SQL and Python skills for data manipulation and transformation.
  • Excellent communication and stakeholder management capabilities.
  • Customer-centric mindset with a pragmatic approach to value delivery and execution.
  • Strong attention to detail and a commitment to data excellence.
  • Solid business acumen and ability to align data initiatives with strategic objectives.
Domain Expertise (Mandatory)
  • Experience with SAP ERP and MDG: Applied knowledge of core systems particularly in master data governance and enterprise resource planning.
  • Aviation business knowledge: Ability to contextualize data within the aviation business landscape to drive insights and innovation.
  • Knowledge and experience of commercial aspects of Aviation industry.
  • Deep understanding of customer location profitability pricing strategies and its impact on commercial performance.

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