ai & automation expert.

• 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

• 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;


• Excellent communication and stakeholder management across functions and hierarchies;


• Proactive and 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;
  Awareness of data governance, cybersecurity, and enterprise architecture principles

Must Have:

• 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;


• Practical experience with SQL and querying cloud-based data warehouses (e.g., BigQuery); ability to independently perform data validations, comparisons, and support UAT efforts;


• Experience with Power 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

Excellent opportunity to join a leading company, with the possibility of professional development.