About the role
We are seeking a technical experienced aviation professional to manager transformation projects through teams implementing innovative projects in maintenance programme development. These initiatives will leverage data-driven and AI-enabled tools, as well as other advanced digital technologies, to optimise processes within the airline’s Technical Operations.
Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager, working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.
Key focus areas will include:
· Optimisation of aircraft maintenance programme development
· Escalation processes for maintenance tasks and check intervals
· Optimisation of non-mandatory maintenance tasks
· Standardisation of maintenance job cards and job instructions
· Development of optimised work packages
· Deployment of digital and AI-powered performance dashboards
The role aims to enhance safety, increase operational efficiency, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.
The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and capital-intensive areas of the airline industry.
Key Responsibilities
· Act as a Project Manager for the airline group’s digital transformation roadmap within Technical Operations and MRO for maintenance programme development.
· Help coordinate cross-functional teams across engineering, planning, maintenance, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
· Lead the project management of AI-powered tools for maintenance programme development, ensuring compliance with regulatory requirements and OEM guidelines.
· Collaborate with engineering and planning teams to integrate new maintenance tools and adapt programmes to fleet and operational needs.
· Validate use cases and ensure scalability of maintenance programme optimisation solutions across multiple operating companies (OpCos).
· Engage stakeholders and foster change management to embed AI-driven maintenance programme practices into operational workflows.
· Monitor and communicate KPIs to demonstrate impact on safety, operational performance, and cost efficiency.
Required Qualifications & Experience
· Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
· Extensive experience in aircraft maintenance programme development within an airline, MRO, OEM, or aviation regulatory body.
· Native / Bilingual in English.
Ideal Candidate Profile
· Knowledge of regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalent).
· Proven track record of leading transformation or digitalisation projects in maintenance or operational settings.
· Strong knowledge of maintenance programme optimisation methodologies and compliance requirements.
· Ability to bridge engineering expertise with data/AI-driven innovation.
· Strategic mindset with excellent stakeholder management and communication skills.
· Passion for driving innovation and digital transformation in the aviation industry.
What We Offer
· The opportunity to accelerate your career at the forefront of airline maintenance digital transformation, leading high-impact projects across a global aviation group.
· Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.