Technical Project Manager

Company team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up 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 Translation: 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. Cross‑Functional Coordination: Facilitate collaboration across the AI and Data teams, engineering, tech and business teams. Ensure roles and responsibilities are clear, meetings are effective, and communication is streamlined. 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. Synthesize competing perspectives into coherent strategy and execution. 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 5+ years of 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 workstreams. 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 model development initiatives, managing data platform or data infrastructure projects, coordinating analytics or BI implementations, or overseeing AI product development cycles. This exposure helps you understand the unique challenges of these domains – experimentation uncertainty, infrastructure complexity, cross‑team dependencies – without requiring a technical engineering background. Experience supporting program operations such as planning cycles, reporting, or process improvement. Core Competencies Strategic Translation: understand the technical landscape deeply enough to translate between technical teams and business stakeholders. Articulate technical constraints, trade‑offs, and opportunities to business leadership to support informed decision making. Help the technical team understand business context, priorities, and customer challenges so they can make decisions that serve both technical excellence and business outcomes. Create clarity around the ‘why’ behind initiatives, enabling the team to contribute strategically rather than just execute. Thrives under ambiguity & creates structure: you’re energized by complexity, not paralyzed by it. You’re the person who sees chaos and thinks “I can make this clearer, more organized, and more visible.” You have strong judgment about what to do with incomplete information, and you’re comfortable making calls and defending them. Strong organizational skills with attention to detail and a structured approach to planning and execution. Clear and effective communicator, able to coordinate across both technical and non‑technical stakeholders and with ability to lead and drive multi‑cultural teams. Proactive, hands‑on mindset with the ability to work independently and manage ambiguity. 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. 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. team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services. #J-18808-Ljbffr