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Manager - Data Science

Delta Technology Hub (DAL Global Technology Hub) · deltatechhub.com
BengaluruLead / Manager
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The job in short

Manage health data science, analytics and data engineering teams and platform delivery.

dbtGenAIData scienceRecruitmentComplianceMachine learning

Details

Found
36 d ago · posted 2026-07-30

Full description

The Manager – Health Data Science and Engineering provides leadership and oversight for all Delta Wellness data science, analytics, and data engineering initiatives delivered from the Delta Technology Hub (DTH) in Bengaluru. This manager will help ensure that cross‑functional teams deliver robust data platforms, analytic products, and machine‑learning and GenAI solutions using health claims and real-world data on employee well-being. Responsibilities: • Acting as the primary liaison between Delta Wellness data engineers, analysts, and data scientists with DTH team members, ensuring transparent communication of priorities, progress and risks. • Provide guidance on data engineering and platform architecture — overseeing the design and operation of secure, scalable cloud data pipelines and well-modeled, governed data products that power analytics and AI across Delta's wellness footprint. • Set and enforce engineering standards across the data platform — layered transformation (e.g., dbt), CI/CD, automated testing, documentation, and observability. • Provides guidance on statistical and data science approaches to deliver timely and accurate business insights and reporting for wellness operations across Delta Air Lines footprint. • Promote data science and AI best practices through showcases, demos and communities of practice. • Lead and mentor multidisciplinary data analysts and data engineers, fostering high performance and continuous development. • Oversee recruitment, onboarding and career progression for data engineers, scientists, analysts. • Champion an inclusive, data‑driven culture that rewards experimentation and learning. • Provide coaching, feedback and performance reviews; ensure team wellbeing and policy compliance. • Oversee regular reporting on delivery KPIs and model‑performance metrics. • Proactively surface and mitigate risks, dependencies and blockers impacting data initiatives.

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