Technical Project Manager; AI & Data
Verfasst am 2026-01-26
-
IT/Informationstechnik
Daten Analyst, Data Science Manager, Künstliche Intelligenz Ingenieur, IT Projekt Manager
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.
PositionThe 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.
- < 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.
- Experience managing projects specifically in AI/ML, data, or analytics environments. Examples include: leading delivery of machine learning modelिर
Um nach Stellen zu suchen, sie anzusehen und sich zu bewerben, die Bewerbungen aus Ihrem Standort oder Land akzeptieren, klicken Sie hier, um eine Suche zu starten: