Responsibilities
Key Responsibilities
Strategic Leadership
- Define and implement the airport's analytics strategy aligned with business objectives.
- Drive a data-driven culture across the organization, ensuring stakeholders use insights for decision-making.
- Identify opportunities for revenue growth, cost optimization, and operational efficiencies through advanced analytics.
Data & Analytics Governance
- Establish and maintain enterprise-wide data management, governance, and quality frameworks.
- Ensure compliance with regulatory requirements (DGCA, ICAO, IATA, data privacy norms).
- Oversee integration of multiple data sources (passenger, airline, concessionaire, operations, digital touchpoints).
Operational & Commercial Analytics
- Build predictive models for passenger traffic forecasting, queue management, resource allocation, and capacity planning.
- Develop dashboards and KPIs for operational performance (turnaround times, OTP, baggage delivery, security throughput).
- Provide insights on commercial performance retail sales, F&B, parking, advertising, real estate.
- Support aeronautical revenue management (tariffs, slots, airline performance).
Customer & Experience Analytics
- Implement passenger segmentation, journey mapping, and sentiment analysis using survey, social media, and digital channels.
- Recommend personalization strategies to enhance customer satisfaction, loyalty, and non-aero revenues.
Technology & Innovation
- Evaluate and deploy advanced analytics platforms, BI tools, and AI/ML models.
- Partner with IT to ensure scalability, cybersecurity, and integration with airport systems (AODB, ERP, CRM, IoT, biometrics).
- Drive innovation in smart airport initiatives, digital twins, and predictive maintenance.
Leadership & Team Management
- Build and lead a high-performing analytics team (data scientists, data engineers, BI specialists).
- Partner with business heads (Aero, Non-Aero, CSD, Finance, HR) to translate business needs into analytics solutions.
- Foster continuous learning and adoption of emerging technologies.
Qualifications
Qualifications & Experience
- Degree in Data Science, Analytics, Statistics, Engineering, or related field.
- 10-12 years of experience in analytics, with at least 3+ years in a leadership role.
- Experience in aviation, airports, transportation, or large-scale infrastructure businesses preferred.
- Proven track record of implementing enterprise-wide analytics programs and delivering measurable impact.
