Senior Expert Data-Driven Solutions

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Role Title: Senior Expert Data-Driven Solutions Local: Lisbon In partnership with Vantage Towers, and as part of the strategic strengthening of its teams and the promotion of its business, we are recruiting a Senior Expert Data-Driven Solutions for Lisbon.
Role Purpose: The Senior Expert Data-Driven Solutions is responsible for identifying and shaping high-impact, data-driven use cases by translating business needs into clear, structured requirements.
With strong capabilities in requirement engineering, the role ensures successful delivery of data initiatives by driving clarity, speed, and value realization while adhering to IT and governance standards.
As a key interface between business, and data architecture and data engineering functions, this position combines strategic thinking, analytical skills, and delivery orientation to unlock business value through data – by mainly supporting the delivery of cloud-native data solutions and enabling self-service reporting capabilities.
Key accountabilities and decision ownership: · Identify and translate complex business needs into structured, data-driven use cases, ensuring clear and complete requirement engineering; · Evaluate use cases regarding business impact, feasibility, and alignment with strategic priorities; · Support the design and delivery of cloud-native data solutions and enable self-service BI use cases, working closely with architecture, engineering, and business teams; · Design and manage initiative roadmaps and project structures, coordinating across business, data, and IT stakeholders to ensure timely and effective delivery; · Drive communication transparency through regular reporting on progress, risks, and realized business impact; · Ensure initiatives align with IT architecture principles, cybersecurity standards, and data governance frameworks; · Leverage cloud capabilities to assess technical feasibility and co-design scalable, value-adding solutions in collaboration with architecture and engineering teams; · Perform hands-on data exploration, comparisons, and validation (e.G., querying BigQuery) to support feasibility assessments, clarify requirements, and contribute to user acceptance testing (UAT) during initiative rollouts; · Use front-endtools to create mock-ups or conceptual visualizations to validate requirements and align with stakeholders early in the process; · Collaborate closely with data architects to align business use cases with scalable and compliant data solutions, ensuring smooth handover from concept to implementation; · Act as a trusted advisor to business teams and champion a data product mindset across data initiatives