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Job Description & How to Apply Below
Location: Bengaluru
About Delta Tech Hub:
Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.
Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
KEY RESPONSIBILITIES:
Communicating and Influencing:
Act as the primary liaison between UK Data & AI leadership and Virgin DTH squads, ensuring transparent communication of priorities, progress and risks.
Represent Data & AI teams in local forums, architecture councils and leadership discussions.
Build trusted relationships with Product, Digital and Technology stakeholders to facilitate data driven decision-making.
Evangelise data and AI best practices through showcases, demos and communities of practice.
Leadership and People Management:
Lead and mentor multidisciplinary Data& AI squads, fostering high performance and continuous development.
Oversee recruitment, onboarding and career progression for data engineers, scientists, analysts and MLOps engineers.
Champion an inclusive, data driven culture that rewards experimentation and learning.
Provide coaching, feedback and performance reviews; ensure team wellbeing and policy compliance.
Data & AI Delivery and Agile Execution:
Own end to end delivery of data platforms, analytical products and ML/LLM solutions through Agile ceremonies.
Facilitate iterative development, backlog refinement, estimation and sprint planning for Data & AI work streams.
Ensure robust data governance, quality and security throughout the lifecycle.
Coordinate with Digital teams to integrate data products via APIs and event streams into customer facing applications.
Drive adoption of MLOps / LLMOps pipelines for continuous training, monitoring and model governance.
Stakeholder Engagement and Communication:
Translate strategic goals into prioritized Data& AI roadmaps with business stakeholders.
Provide regular reporting on delivery KPIs (velocity, throughput, value delivered) and model performance metrics.
Proactively surface and mitigate risks, dependencies and blockers impacting data initiatives.
Operational and Local Hub Management:
Ensure squads have access to modern data tooling, cloud resources and secure environments.
Partner with Facilities and IT to maintain productive, hybrid friendly working practices.
Lead continuous improvement initiatives, leveraging retrospectives and data driven insights.
Track and optimize resource utilization, cost and quality metrics for Data & AI delivery.
Innovation and Continuous Improvement:
Stay abreast of emerging AI trends (e.g., Generative AI, LLM fine tuning) and assess applicability to Virgin Atlantic use cases.
Promote a culture of experimentation, hackathons and proofs of concept to accelerate learning and innovation.
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS):
Bachelor’s degree in computer science
Proven experience leading Agile Data & AI delivery teams across data engineering, BI/analytics, data science, ML and LLM product development.
Deep understanding of data Lifecycle methodologies (CRISP DM, MLOps / LLMOps) and traditional SDLC.
Hands on knowledge of cloud data platforms (AWS / Azure / Databricks), data Warehousing, streaming, and API centric integration patterns.
Demonstrable expertise in Scrum, Kanban and SAFe;
Agile certification (CSM, PSM, SA, etc.) preferred.
Strong leadership and people management skills in multi-location / global settings.
Experience delivering BI & reporting solutions (e.g., Power BI, Tableau) and operationalizing ML models via APIs or interactive applications.
Excellent stakeholder management, communication, and problem-solving abilities.
Experience in Team Leadership:
Managed, mentored, coached and developed teams, fostering a collaborative and creative work environment
Experience in Resource Allocation, Capacity Planning & Resource utilization
Experience in Performance Management by providing regular performance feedback, recognizing achievements and addressing areas for improvement.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):
Previous airline experience
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