team.blue
SaaS ⢠eCommerce ⢠Technology
team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.
Head of AI and Data Platform
September 13
team.blue
SaaS ⢠eCommerce ⢠Technology
team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.
đ Description
⢠Oversee design, development, and operation of enterprise-wide data and AI platform infrastructure and tooling ⢠Lead three sub-functions: Data & Analytics Engineering, Data Platform Operations, AI/ML Platform Operations ⢠Ensure the technology foundation across data and AI domains is robust, scalable, and fit-for-purpose to support strategic business outcomes ⢠Define and execute the integrated platform strategy for AI & Data, aligned with business and technology objectives ⢠Serve as a key advisor to the Chief AI & Data Officer on platform and infrastructure matters ⢠Oversee architecture and delivery of a modern AI & data platform, including ingestion, transformation, storage, and access layers ⢠Oversee development of internal AI platform, including an enterprise LLM model hub and GenAI app development platform ⢠Guide development of robust, automated LLM/MLOps capabilities to operationalize AI assets at scale ⢠Ensure high availability, performance, and scalability of platform services across the enterprise ⢠Drive implementation of standardized processes for platform reliability, cost management, and operational monitoring ⢠Ensure compliance with data governance, security, and regulatory requirements across all platform components ⢠Define and track key metrics (SLAs, system health, deployment velocity) to monitor performance and enable continuous improvement ⢠Partner closely with AI/ML, data science, product, enterprise architecture, and IT teams to ensure platforms meet cross-functional needs ⢠Act as an internal evangelist for platform capabilities, fostering adoption and enabling self-service ⢠Build and retain a high-performing team across the three sub-domains and establish a culture of innovation, accountability, and technical excellence
đŻ Requirements
⢠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 ⢠Proven track record building and scaling enterprise-grade data and AI platforms ⢠Strong experience in cloud-native architectures (AWS, GCP, Azure) ⢠Deep knowledge of modern data architectures (lakehouse, data mesh) ⢠Hands-on experience with data engineering, MLOps (e.g., MLFlow, Kubeflow), and platform automation ⢠Experience with AI/ML technologies (eg. LLMs, Vector databases, RAG pipelines) ⢠Strong foundation in DevOps, CI/CD, IaC, Kubernetes, and platform reliability ⢠Capable of leading cross-functional teams and defining and aligning platform vision and strategy with business goals ⢠Strong communicator, able to influence senior stakeholders and drive adoption ⢠Builder and execution-focused, customer-centric, and governance-aware ⢠Advocates for automation, measurement, and continuous improvement ⢠Brings a product mindset to internal platform development and operations
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