Data Product Owner

We are looking for a Data Product Owner to form part of the Data Engineering Department. The selected candidate will collaborate with various stakeholders and develop technical solutions in an Agile environment.


Malta * Full-time

Duties and responsibilities

  • Engage in the strategic process of project prioritization, project management, and seamless delivery communication.
  • Collaborate closely with the Data Engineering Senior Manager and Data Architect to strategize and prioritize projects for the roadmap.
  • Lead sprint planning and adeptly manage the workloads of cross-functional scrum teams.
  • Foster a collaborative environment with other Product Owners throughout the organization to ensure the successful implementation of technical solutions.
  • Effectively communicate the roadmap and overarching objectives to stakeholders, ensuring clarity and alignment.
  • Provided insightful guidance to stakeholders, aiding them in identifying information requirements tailored to their specific processes and operational needs.
  • Advise power users within the bank, offering expert recommendations for optimizing day-to-day functionalities leveraging the data platform.
  • Take ownership of ongoing data projects within the domains of data science and data engineering.
  • Actively participate in shaping the bank’s data warehouse through meticulous modelling.
  • Play a pivotal role in driving Data Science initiatives that yielded tangible business value.
  • Regularly engage with stakeholders across diverse business units, fostering alignment and meaningful collaboration.
  • Support the data engineering team in their daily operations, taking charge of leading SCRUM ceremonies.
  • Develop into a recognized subject matter expert on the intricacies of the data platform.

Required knowledge, skills and experience

  • Possess a bachelor’s or master’s degree in a data-related field.
  • Have over 5 years of hands-on experience in the data sector, involving engagement with stakeholders of varying hierarchical levels.
  • Proven expertise within the banking industry, exhibiting an in-depth understanding of its unique dynamics.
  • Proficient in the methodologies of SCRUM, applying them effectively to enhance project management.
  • Adept in utilizing Snowflake and equipped with advanced SQL knowledge.
  • Well-versed in spearheading data science initiatives, reflecting a comprehensive understanding of their implementation.

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