
Data Governance Specialist
2 days ago
The ideal candidate will possess expertise in data management, with a proven track record of leading the design, implementation, and governance of data assets across complex business ecosystems. The successful candidate will be responsible for ensuring that data is structured, accessible, and trusted to support operational excellence and strategic decision-making.
- Develop and implement data models that support aviation operations and analytics.
- Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
- Champion data quality, integrity, and compliance across systems and processes.
- Apply foundational data transformation techniques using SQL and Python to prepare data for consumption.
- Design and maintain metadata and data catalogue tools to ensure discoverability and lineage tracking.
- Deliver scalable and secure data products on cloud platforms such as AWS or Azure.
Key Requirements:
- 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.
Domain Expertise:
- SAP ERP and MDG: Applied experience with 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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