## Team Manager AI & Data StrategyLISBOA, Portugal* Lead and develop the Data team (data engineers, data analysts and data architects);
set clear goals, coach performance, and foster a collaborative delivery culture.
* Drive prioritization based on business value, strategic impact and feasibility;
maintain a transparent backlog and delivery roadmap - including AI-enabling priorities where data foundations are critical.
* Ensure key datasets are AI-ready and adopted by driving data quality, documentation and consistent business semantics that support downstream AI and analytics consumption.
* Manage stakeholder demand end-to-end: clarify needs, translate into deliverable requirements, and align expectations across business and IT.
* Oversee the development and operation of a scalable, maintainable and reliable GCP-based data platform and analytics products as the foundation for scalable AI use cases.
* Steer data integration, transformation and reporting delivery across GCP components (e.G., BigQuery, Cloud Run, Airflow, Dataflow) and related services.
* Ensure orchestration, monitoring and operational transparency;
establish run-books, KPIs and platform health reporting, and drive cost awareness and optimization of GCP resources.
* Collaborate closely with the Data Architect on target architecture, standards and governance, and coordinate delivery across internal teams and external partners to ensure high-quality outcomes.
* You combine business-outcome-driven leadership with Data-to-AI thinking: shaping datasets and access patterns that accelerate downstream AI and automation use cases.
* You make data products stick: strong stakeholder management and adoption orientation - ensuring reporting and datasets are truly used in day-to-day decision making.
* You lead with platform thinking: maintainability, reliability and operational excellence - not one-off deliveries.
* You are cost-aware and pragmatic in cloud environments;
you establish practicalguardrails and make consumption transparent.
* You collaborate effectively with technical experts (e.G., Data Architects and Engineers) and can challenge solutions constructively without turning the role into a deep-technical architect position.
* Bachelor's or Master's degree in business, computer science, data analytics, engineering, or related field (or equivalent experience).
* Several years of experience in data, analytics, and/or data platform environments with responsibility for business-facing delivery.
* Proven experience leading teams and/or complex delivery streams in stakeholder-driven environments.
* Strong understanding of cloud-based data platforms, ideally GCP, including data lake and scalable analytics platform concepts.
* Familiarity with GCP services such as BigQuery, Cloud Run, Airflow, Dataflow, or comparable services on other cloud platforms.
* Some exposure to ML/GenAI/RAG/agentic implementations (worked alongside teams delivering such solutions;
understands key data requirements and common pitfalls).
* Experience in managing data integration, transformation and reporting environments;
ability to steer end-to-end delivery.
* Experience driving business value and adoption from data solutions (self-service analytics, reporting products, datasets).
* Familiarity with AI-enabled analytics capabilities in cloud data platforms (e.G., AI-assisted development or exploration features where available) and the associated governance considerations.
* Ability to collaborate effectively with technical experts such as Data Architects and Engineers and to align on standards and best practices.
* Understanding of cost optimization and efficient use of cloud resources.
* Fluent English (C1), written and spoken.
## **What we offer*** A **diverse, multicultural setup** based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to **shape**the **organisation*** An**attractive salary package*** **Meal Allowance**: Delivered on Pluxee card - €*****/day* **Pension Plan*** **Full Health Insurance:** For employees and co-payment for family members* **Life Insurance*** **7 extra vacation days:** 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's.
* **Parking Slot****CV with your desired salary**.
Depending on the role, we generally invite you to two rounds of interviews before you receive your offer.
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