Company Overview
is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.5 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.
team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
Position Overview
The Head of AI & Data Platform is a senior leader within the AI & Data function, responsible for overseeing the design, development, and operation of the enterprise-wide data and AI platform infrastructure and tooling. The role ensures that the technology foundation across data and AI domains is robust, scalable, and fit-for-purpose to support strategic business outcomes.
This role leads three key sub-functions:
1. Data & Analytics Engineering: builds and integrates data sources and pipelines.
2. Data Platform Operations: owns and maintains the data platform and associated infrastructure.
3. AI/ML Platform Operations: develops and operates our internal AI platform and other AI/ML infrastructure required for model development, deployment, and lifecycle management.
Key Responsibilities
Platform Strategy & Leadership
4. Define and execute the integrated platform strategy for AI & Data, aligned with business and technology objectives.
5. Serve as a key advisor to the Chief AI & Data Officer on platform and infrastructure matters.
Data & AI Infrastructure Enablement
6. Oversee the architecture and delivery of a modern AI & data platform, including ingestion, transformation, storage, and access layers.
7. Oversee the development of our internal AI platform, including an enterprise LLM model hub and GenAI app development platform
8. Guide the development of robust, automated LLM/MLOps capabilities to operationalize AI assets at scale.
9. Ensure high availability, performance, and scalability of platform services across the enterprise.
Operational Excellence & Governance
10. Drive the implementation of standardized processes for platform reliability, cost management, and operational monitoring.
11. Ensure compliance with data governance, security, and regulatory requirements across all platform components.
12. Define and track key metrics (SLAs, system health, deployment velocity, etc.) to monitor performance and enable continuous improvement.
Cross-Functional Collaboration
13. Partner closely with AI/ML, data science, product, enterprise architecture, and IT teams to ensure platforms meet cross-functional needs.
14. Act as an internal evangelist for platform capabilities, fostering adoption and enabling self-service.
Team Development
15. Build and retain a high-performing team across the three sub-domains.
16. Establish a culture of innovation, accountability, and technical excellence.
Requirements
17. 8+ years of experience in AI/ML or Data Engineering, with 4+ years in a leadership role managing and guiding a team of data and/or ML engineers
18. Proven track record building and scaling enterprise-grade data and AI platforms.
19. Strong experience in cloud-native architectures (AWS, GCP, Azure).
20. Deep knowledge of modern data architectures (lakehouse, data mesh).
21. Hands-on experience with data engineering, MLOps (e.g., MLFlow, Kubeflow), and platform automation.
22. Experience with AI/ML technologies (eg. LLMs, Vector databases, RAG pipelines)
23. Strong foundation in DevOps, CI/CD, IaC, Kubernetes, and platform reliability.
24. Capable of leading cross-functional teams and defining and aligning platform vision and strategy with business goals.
25. Strong communicator, able to influence senior stakeholders and drive adoption.
26. Builder and execution-focused, customer-centric, and governance-aware.
27. Advocates for automation, measurement, and continuous improvement.
28. Brings a product mindset to internal platform development and operations.
ESG
At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out .
"Come as you are"
Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.