Product Owner – Data & Analytics

Product Owner

Join us, and lead innovation through data-driven decision making!

Kraków - based opportunity with hybrid work model (2 days/week in the office).

As a Product Owner, you will be working for our client, a global financial institution focused on transforming its data and analytics landscape. You will be leading the development of data-driven products that support critical business decisions across credit, lending, and operational processes. This project aims to optimize investigation outcomes by leveraging advanced analytics and technology solutions, driving measurable value through effective stakeholder collaboration and Agile product development. You will be working in a complex, global environment that requires a strong strategic mindset and hands-on delivery expertise.

Your main responsibilities:

• Defining and evolving the product vision in alignment with business goals

• Collaborating with stakeholders to prioritize features based on value and business impact

• Leading Agile ceremonies and maintaining a clear and refined product backlog

• Supporting the team in decomposing epics into actionable user stories

• Communicating with cross-functional teams to ensure product alignment and clarity

• Resolving conflicting stakeholder priorities and negotiating trade-offs

• Showcasing product iterations and improvements to business stakeholders

• Promoting and advocating for the product across the broader organization

• Shaping and validating business outcomes through data analytics and metrics

• Ensuring consistent delivery of business value through iterative releases

  
  

You're ideal for this role if you have:

• Proven experience as a Product Owner in a large, complex organization

• Strong leadership and communication skills across all seniority levels

• Expertise in Agile frameworks and tools such as JIRA and Confluence

• Experience managing product strategy, roadmaps, and value delivery

• Strong stakeholder management and conflict resolution capabilities

• Demonstrated ability to deliver business and technology change

• Understanding of data management and analytics within a corporate context

• Experience working with global, cross-functional teams

• Familiarity with credit and lending processes in the financial industry

• Ability to translate business outcomes into technical requirements

  
  

It is a strong plus if you have:

• Hands-on experience with SQL, Big Query, or other data tools

• Background in data science, analytics, or business analysis

• Experience with big data technologies or cloud-based platforms

• Proficiency in Python or PySpark for data processing

• Knowledge of data visualization tools like Tableau or QlikSense