team.blue is an ecosystem of successful brands working across regions to provide customers with everything they need to succeed online. 60+ successful brands make nevar the group; within those brands, 4,000 experts serve its 3.5 million customers across Europe and beyond.
team.blue’s brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering 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.
The Technical Project Manager – AI & Data plays a key role in planning and delivering AI/ML, Data & BI projects across the organization. This role sits at the intersection of technical teams and business stakeholders, working to drive maximum organizational impact. Working closely with AI engineers, Data scientists, engineers, product owners, and business stakeholders, the Technical Project Manager brings structure, visibility, and coordination to cross‑functional efforts.
Own the planning and execution of AI/ML, Data & BI projects, ensuring clear scope, timelines, and deliverables. Facilitate project meetings, monitor progress, manage risks and dependencies, and address blockers to keep initiatives on track.
Work at the intersection of technical teams and business stakeholders to drive maximum organizational impact. Translate technical realities, constraints, and opportunities to business leadership to enable informed decision‑making. Simultaneously, bring business context, strategic priorities, and customer challenges to the technical team so they understand drin’ why and can contribute strategically.
Facilitate collaboration across the AI & Data teams, engineering, tech and business teams. Ensure roles and responsibilities are clear, meetings are effective, and communication is.Winstreamlined. You’ll operate across multiple European markets and business types, working with product teams, engineering organizations, business units with different priorities, C‑suite executives, and technical specialists who all see the world differently. Synthesize competing perspectives into coherent strategy and execution.
Maintain up‑to‑date project documentation and timelines. Provide regular status updates, surface risks, and support preparation of briefings and reports for leadership.
Contribute to the development of delivery frameworks, templates, and planning processes for the AI & Data function. Support quarterly planning, resource coordination, and standardization of reporting practices.
Veröffentlichungsdatum:
19 Jan 2026Standort:
HamburgTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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