Manager - Transformation & Analytics (Gurugram)

IndiGo

Gurugram District

On-site

INR 2,500,000 - 3,800,000

Full time

14 days+

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Job summary

IndiGo is seeking a seasoned Network Planning & Scheduling Optimisation leader to guide data‑driven projects across network design, fleet deployment, and schedule planning. You will model scenarios, analyse demand and performance, and drive decisions that boost efficiency and profitability.

You will collaborate with PRM, Flight Operations, OCC, Engineering, and Finance to deliver implementable recommendations, monitor KPIs, and communicate outcomes to senior leadership.

Qualifications

  • 5+ years of experience in network planning, scheduling, or airline strategy.
  • Bachelor's/Master’s degree in Engineering, Aviation, Economics, Data Science, or related field.
  • Proficiency in Data Analytics platforms.
  • Strong analytical and quantitative skills with experience in optimisation projects.

Responsibilities

  • Lead optimisation initiatives across network design, schedule planning, and fleet deployment.
  • Develop and evaluate multiple scheduling scenarios using advanced modelling tools.
  • Identify opportunities for route rationalization, frequency adjustments, and hub connectivity improvements.
  • Perform in-depth analysis of route performance, demand patterns, and competitive landscape.
  • Use optimization algorithms and simulation tools to support decision‑making.
  • Monitor KPIs such as load factors, yield, RASK/CASK, and schedule reliability.
  • Drive cross‑functional projects involving PRM, Flight Operations, OCC, Engineering, and Finance teams.
  • Develop project plans, timelines, and deliverables for optimisation initiatives.
  • Ensure timely execution and alignment with strategic goals.
  • Present findings and recommendations to senior leadership.

Skills

Network planning
Scheduling
Airline strategy
Analytical

Education

Bachelor's/Master's degree in Engineering, Aviation, Economics, Data Science, or related field

Tools

DataBricks
Power BI
Tableau
Python/R
CPlex

Job description

Job Purpose:

To lead and manage strategic and tactical optimisation projects within the Network Planning and Scheduling function, aimed at enhancing network efficiency, profitability, and operational reliability. The role involves data-driven analysis, scenario modelling, and cross-functional collaboration to deliver high-impact solutions.

Key Responsibilities:
Network Planning & Scheduling Optimisation
  • Lead optimisation initiatives across network design, schedule planning, and fleet deployment.
  • Develop and evaluate multiple scheduling scenarios using advanced modelling tools.
  • Identify opportunities for route rationalization, frequency adjustments, and hub connectivity improvements.
Data Analysis & Modelling
  • Perform in-depth analysis of route performance, demand patterns, and competitive landscape.
  • Use optimization algorithms and simulation tools to support decision-making.
  • Monitor KPIs such as load factors, yield, RASK/CASK, and schedule reliability.
Project Management
  • Drive cross-functional projects involving PRM, Flight Operations, OCC, Engineering, and Finance teams.
  • Develop project plans, timelines, and deliverables for optimisation initiatives.
  • Ensure timely execution and alignment with strategic goals.
  • Present findings and recommendations to senior leadership.
Technology & Tools
  • Research and recommend Procurement of Optimiser tools to suit business needs
  • Work with scheduling and planning software (e.g., Sabre AirVision, OAG, etc).
  • Leverage data analytics platforms (e.g. DataBricks, Power BI, Tableau, Python/R, CPlex etc) for large scale optimisation, insights and reporting.
  • Develop OR / AI / ML models which are explainable and implementable
Qualifications & Experience:
  • Bachelors/Master’s degree in Engineering, Aviation, Economics, Data Science, or related field.
  • 5+ years of experience in network planning, scheduling, or airline strategy.
  • Strong analytical and quantitative skills with experience in optimisation projects.
  • Proficiency in Data Analytics platforms.
Key Competencies:
  • Strategic Thinking & Problem Solving
  • Project Management & Execution
  • Analytic
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