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Director - Data & AI Engineering

Director - Data & AI Engineering

Edge Executive SearchGurugram
18 days ago
Job description

Our client is a global aviation powerhouse and one of the most recognized names in the airline industry. As a marquee player in the aviation space, the company is undergoing a bold digital transformation-reimagining its operations, customer experience, and business strategy through the lens of data, AI, and cloud innovation. From predictive maintenance and personalized travel experiences to dynamic pricing and intelligent crew scheduling, data is at the core of every strategic initiative.

We are seeking to identify a senior technology leader to spearhead the company's Data and AI Engineering of a high-impact global team that supports critical digital and operational functions across the enterprise.

This role will be responsible for technology and team leadership to a cross-functional group of engineers and data scientists, partnering with global stakeholders across Digital Technology, Operations, Commercial, and corporate functions.

The Job :

  • Provide leadership for high-impact data and machine learning engineering programs across global business functions.
  • Drive development and management of scalable data platforms, pipelines, and AI / ML solutions supporting key enterprise priorities.
  • Guide cross-functional teams in requirement gathering, architecture design, deployment, and change management.
  • Manage a growing team of data and AI professionals and foster a culture of innovation and excellence.
  • Represent the Data & AI Engineering team in global forums and leadership presentations.

Your Profile :

  • A Bachelor's degree in Computer Science, Engineering, or related fields (Master's preferred).
  • 18+ years of overall experience and 10+ years of digital and data technology experience, with at least 5 years in cloud-based data or AI systems.
  • Expertise in data engineering, database management, and machine learning lifecycle with tools such as SQL, Python, Redshift, AWS Sagemaker, and LLMs.
  • Deep understanding of cloud-native data platforms and modern ML / GenAI applications.
  • Demonstrated ability to manage large-scale technical teams and mentor top talent.
  • Experience in working with global teams and cross-cultural collaboration.
  • Strong communication and stakeholder management skills.
  • Passion for leveraging data and AI to solve complex business challenges and deliver measurable impact.
  • This role is an ideal opportunity to be a part of a global transformation journey for one of the world's most reputed service companies that relies on data as the core of its excellence and to work with best-in-class technologies and digital platforms across AI, cloud, and enterprise data.

    (ref : hirist.tech)

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    Director Engineering • Gurugram

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