Head of Data Insights and Advanced Analytics

Employment Type: Permanent Contract Duration: Why you will love working here At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive. • Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives. • With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry. • Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies. • We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you. • We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off! About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs. These include: Managing Safety and Operations Data Sharing Programs Supporting OSS lines of business in their data, analytics, reporting and dashboard needs Developing a coherent approach to data visualization and analysis Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring Adhering to data governance policies, quality standards and best practicesText What your day would be like Reporting to the Director, OSS Business Systems and Performance, you will drive innovation through advanced analytics, data science, and AI. Leading a team of data specialists, you will advance analytical capabilities, oversee data integration and quality across diverse datasets, and deliver value-added solutions that identify emerging safety and security risks, operational trends, and opportunities. What your day would be like Lead, inspire, and develop a high‑performing team of data specialists, analytics professionals and data scientists. Set and execute the OSS vision and strategy for data insights and advanced analytics aligned with the corporate guidelines. Oversee data integration across internal and external sources, ensuring scalable, reliable, and timely data pipelines for GADM and OSS Shape and execute a data strategy that transforms complex industry data into actionable insights, enabling better decisions and measurable outcomes. Partner closely with internal and external stakeholders to translate strategic priorities into analytical use cases, models, and insights. Build collaborative relationships with IT technology peers to ensure solutions alignment with the enterprise architecture principles and technological building blocks. Establish and enforce data quality, governance, and metadata processes to ensure trusted, accurate, and business‑ready data. Define and track KPIs and outcomes to measure the impact, effectiveness, and ROI of analytics and AI initiatives. Promote a data‑driven culture by enabling self‑service analytics, upskilling teams, and improving data literacy across the organization. Continuously evolve data and analytics capabilities by evaluating emerging technologies, techniques, and best practices and champion the adoption of modern analytics platforms, cloud technologies, and AI/ML capabilities in collaboration with IT peers. Ensure responsible and ethical use of data and AI, including compliance with regulatory, privacy, and security requirements. We would love to hear from you if Advanced university degree in mathematics, statistics, computer science, system analysis or a related field. MInimum 7 years of experience managing a data science team. Demonstrable research, data science and AI, project management and reporting skills; Ideally, a sound understanding of the Airline industry Proven experience working closely with business owners and subject matter experts to document, design, develop, and deliver high-quality data and analytics solutions. Excellent critical thinking, problem solving, organizational, interpersonal, and communication skills. Ability to communicate effectively in English with both technical and non-technical audiences. Demonstrated ability to influence and advocate change at all levels of the company. Travel Required: 10% Learn more about IATA’s role in the industry, our benefits, and the team at iata/careers/. We are looking forward to hearing from you!

Lead a team of data specialists to drive innovation through advanced analytics, AI, and data science to identify safety and operational trends. Develop and execute the data strategy for the OSS business unit while ensuring data quality and governance across diverse datasets.

Requires an advanced university degree in a quantitative field and at least 7 years of experience managing a data science team. Candidates must possess strong critical thinking skills and the ability to deliver high-quality analytics solutions within the airline industry.

• Continuous Learning • Equal Pay • Family-friendly Policies • Volunteering Time Off • Flexible Work Options • Work From Abroad Policy • Birthday Off

• Gestion de projetSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Advanced Analytics
• Data Science
• Artificial Intelligence
• Team Leadership
• Data Integration
• Data Governance
• KPI Tracking
• Stakeholder Management
• Cloud Technologies
• Machine Learning
• Data Visualization
• Project Management
• Influencing Skills
• Continuous Development
• Data Literacy
• Advanced Mathematics
• Emerging Technologies
• Data Strategy
• Strategic Prioritization
• Advocacy
• Ethical Standards And Conduct
• Upskilling
• Research
• Data Analysis
• Dashboard
• Business Systems
• Communication
• Computer Science
• Continuous Monitoring
• Critical Thinking
• Data Management
• Data Quality
• Data Sharing
• English Language
• Governance
• Scalability
• Innovation
• Systems Analysis
• Enterprise Architecture
• Problem Solving
• Key Performance Indicators (KPIs)
• Metadata
• Operations
• Security Requirements Analysis
• Statistics
• Collaboration
• Reliability
• Data Pipelines

• Data & Analytics
• Management & Leadership
• Transportation
• Technology
• Security & Safety
• Analytics Manager
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Maîtrise

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine