Head of Data Insights and Advanced Analytics

IATA • Montreal, QC

34d • Hybrid

About The Position

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.

Requirements

• 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
• 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.

Nice To Haves

• Ideally, a sound understanding of the Airline industry

Responsibilities

• 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.

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 501-1,000 employees