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-end tools 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.
Core competencies, knowledge and experience:
· Ability to translate business requirements into scalable, maintainable data platform and self-service reporting solutions;
· Strong analytical and strategic thinking with a focus on impact and feasibility;
· Excellentcommunication and stakeholder management across functions and hierarchies;
· Proactiveand structured delivery mindset with high accountability;
· Solid understanding of cloud data platforms, including data services, integration capabilities, and scalability potential;
· Familiarity with data product life cycles, agile ways of working, and requirement engineering;
· Hands-on capability with dashboarding and BI tools (e.G., Power BI) to create mock-ups and support stakeholder engagement;
· Solid hands-on data analysis skills to support validation, quality assurance, and business value tracking;
· Ability to balance speed and quality while managing risk and compliance;
· Awarenessof data governance, cybersecurity, and enterprise architecture principles.
Must have technical/professional qualifications:
· A successfully completed Bachelor's or Master's degree in business, computer science, data analytics, or a related field, or equivalent professional experience;
· 5+ years of experience in data-related roles, with a focus on business-facing solution delivery;
· Proven track record in shaping and delivering data initiatives in complex organizations;
· Hands-on experience with cloud-based data platforms;
experience with Google Cloud Platform (GCP) is a strong plus;
· Practicalexperience with SQL and querying cloud-based data warehouses (e.G., BigQuery);
ability to independently perform data validations, comparisons, and support UAT efforts;
· Experience withPower BI or similar BI front-end tools to mock up visualizations and guide dashboard development;
· Strong facilitation skills in requirement engineering and benefit/value case articulation;
· Experience working in agile environments (e.G., Scrum, Kanban) with cross-functional teams and iterative delivery cycles;
· Fluent English (C1) skills written and spoken