Chief Data Strategist

5 days ago

Bikaner, Rajasthan, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Are you looking for a challenging role in data management?

This position requires a unique blend of technical expertise, business acumen, and stakeholder engagement to deliver high-value data products.

Job Description:

Data Manager - Aviation

Lead the design, implementation, and governance of data assets across the aviation business. Ensure data is structured, accessible, and trusted to support operational excellence and strategic decision-making.

  • Develop and maintain complex data models that support aviation operations and analytics.
  • Manage 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.
  • Apply foundational data transformation techniques using SQL and Python to prepare data for consumption.
  • 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.

Required 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:

  • Experience with SAP ERP and MDG.
  • Aviation business knowledge including customer location profitability, pricing strategies, and its impact on commercial performance.

Benefits:

  • Hybrid working model.
  • Day rate on offer ($).

Key Responsibilities:

  1. Design and implement data solutions that meet business needs.
  2. Develop and maintain relationships with stakeholders.
  3. Ensure data accuracy and integrity.

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