Director of Software Engineering - Data & AI
Senior engineering leadership role heading the Data & AI organization of a travel company, covering the experimentation platform, data engineering, data products, and core ML/AI capabilities behind its Connected Trip strategy. The director leads 50+ people, owns architecture and delivery, and needs deep big-data, AWS, and experimentation expertise.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Deep technical experience in Software Engineering and Data
- Experience with Big Data systems and projects
- Experience with Data ETL, data architecture, schema design, and data modeling
- Experience with AI technologies within the data ecosystem
- Working knowledge of cloud-based data capabilities on AWS
- Experience with experimentation / next-generation A/B testing platforms
- Good understanding of statistical methods for experimentation and measurement at scale
- Experience with data privacy and data security topics, privacy-by-design in segmentation and intent modeling
- Extensive tech leadership experience building and leading a cross-functional engineering function at scale (50+ people)
- Industry experience at fast-moving, innovative global technology companies
- Experience operating large, internet-scale applications and distributed systems across multiple languages, platforms, and public cloud
- Proven track record of designing and building platforms at scale
- Ability to contribute to system design, architecture, and deep technical problem solving
- Able to provide technical direction (tech strategy, build-vs-buy decisions, prioritization)
- Strong collaboration with senior architects and technical counterparts
- Demonstrable experience working in Agile environments and culture
- Experience setting, leading, and influencing engineering and business strategy long-term
- Experience managing and coaching teams of senior tech leaders
- Independent, pragmatic, and proactive work attitude
- Well versed in engineering craftsmanship
- Experience building a DevOps culture
- Excellent communication skills
- Strong commercial acumen
Full description
Role Description:
Als u iets meer wilt weten over deze vacature, of overweegt te solliciteren, lees dan de volgende vacature-informatie.
The Data and AI organization is central to our Connected Trip strategy as its role is to gather, analyze, and interpret data to gain a deep understanding of our travelers and their behaviors including experimentation, preferences, needs and expectations. These insights inform, validate & steer the traveler product vision and traveler interventions. Additionally, the team is responsible for core ML capabilities such as ranking, relevance, recommendation and semantic understanding of our products.
The key capabilities owned by this organization:
- Data Products and Intent Modelling
Customer intent and key canonical data models and data products to enable strong insights, decision making and alignment across our Connected Trip vision.
- Experimentation Platforms
Our experimentation platform is industry leading comprehensively covering the entire experimentation lifecycle from design, metric calculation, statistical analysis right through to launch. Experimentation scenarios are comprehensive and vast across our global product estate for example web, app, personalisation, segmentation, backend services and AI interactions patterns.
- AI Application Platform
Foundational platform that enables compliant, secure agentic workflows with integrated context, memory and steering
- Data Engineering
Partner with tracks and teams across to ensuring that our operational data is ingested into the right models, data sets with clear lineage and ownership
Role specification
We are looking for a technology leader to lead Data from an Engineering perspective partnering with the Data and Product leaders to deliver on our ambition for the Connected Trip. The role will need to evolve our Experimentation platform to the next generation and be focused on Software Engineering related to data, analytics, models, AI and ingestion. To be successful in this role you need to have:
- Deep technical experience related in Software Engineering and Data
- Experience with Big Data systems and projects
- Experience with Data ETL (Extraction, Transformation & Load), data architecture, schema design, and data modeling
- Experience of AI technologies and use within the data ecosystem
- Working knowledge of cloud based data capabilities on AWS
- Experience with Experimentation platforms in order to evolve the platform to the next-generation of A/B testing platforms that empowers to make data-driven decisions for its products and services