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Technical Project Manager; AI & Data

in 20038, Hamburg, Hamburg, Deutschland
Unternehmen: team.blue
Vollzeit position
Verfasst am 2026-01-26
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Daten Analyst, Data Science Manager, Künstliche Intelligenz Ingenieur, IT Projekt Manager
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 100000 EUR pro Jahr EUR 80000.00 100000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Technical Project Manager (AI & Data)

Company

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.

Position

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.

Key Responsibilities
  • Project Planning & Execution

    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.

  • Strategic Mediation & Two‑Way неизвестно

    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.

  • Cross‑Functional Coordination

    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.

  • compressed
  • Tracking & Reporting

    Maintain up‑to‑date project documentation and timelines. Provide regular status updates, surface risks, and support preparation of briefings and reports for leadership.

  • Operational Support

    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.

Requirements
    < fəaliyyge> 5+ years of ойл experience in technical project management and/or AI product development, preferably in tech, data, or AI environments.
  • Strong background in AI/ML and Data with proven technical knowledge of AI/ML & Data lifecycle and an ability to learn new technical domains.
  • Experience managing complex multi‑country projects with proven ability to manage timelines, stakeholders, and dependencies across multiple work streams.
  • Familiarity with agile methodologies and tools such as Jira, Confluence, or similar.
Preferred Experience
  • Experience managing projects specifically in AI/ML, data, or analytics environments. Examples include: leading delivery of machine learning modelिर
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