Product Owner - IT Business Analyst

at ING
PLN 156,000-288,000 per year
SENIOR
✅ On-site
✅ Visa Sponsorship

Tech Stack

AI @ 1 Agile @ 4 Azure @ 3 Azure DevOps @ 3 BI @ 4 Communication @ 6 Data Modeling @ 4 DevOps @ 3 GitHub @ 4 Power BI @ 4 Reporting @ 4 SRE Technical Leadership

Details

ING Hubs Poland is hiring for a Product Owner - IT Business Analyst to join the AI Impact Dashboard team. The role combines product ownership, business analysis, and technical leadership responsibilities, supporting AI adoption and value measurement across ING.

Responsibilities

Product Ownership and Roadmap

  • Support the development of the AI Impact Dashboard vision and roadmap.
  • Transform business needs into product features, user stories, and acceptance criteria.
  • Coordinate backlog refinement and delivery planning.
  • Prioritize enhancements based on business value, technical dependencies, and stakeholder needs.
  • Ensure alignment between dashboard development and business objectives.

Business Analysis and Stakeholder Management

  • Gather and analyze requirements from management teams, SRE leads, domain representatives, and report consumers.
  • Lead workshops and discovery sessions to understand reporting needs and business questions.
  • Define and maintain dashboard metrics, business rules, and reporting definitions.
  • Translate complex business requirements into actionable deliveries for development teams.
  • Present dashboard capabilities, delivery status, risks, and recommendations to stakeholders.

Technical Leadership and Delivery Coordination

  • Coordinate the work of Power BI specialists, Data Engineers, Data Quality Engineers, and supporting teams.
  • Monitor delivery progress, dependencies, risks, and blockers.
  • Facilitate working sessions, reviews, sprint activities, and cross-team collaboration.
  • Support release preparation, user testing, rollout activities, and stakeholder communication.
  • Ensure consistency between dashboards, reports, documentation, and underlying data sources.

Data Quality and Governance

  • Support initiatives focused on improving data quality, completeness, and consistency.
  • Coordinate investigations of discrepancies across source systems and reporting layers.
  • Collaborate with data owners and engineering teams on issue resolution and data governance activities.
  • Identify opportunities for automation and reduction of manual processes.
  • Ensure transparency regarding data limitations, assumptions, refresh cycles, and reporting scope.

Reporting and Insights

  • Analyze trends in AI adoption, licensing, usage, productivity, quality, and costs.
  • Translate metrics into management insights and actionable recommendations.
  • Support the creation of presentations, dashboards, communication materials, and management reports.
  • Collect user feedback and convert it into roadmap and backlog improvements.
  • Maintain product documentation and knowledge-sharing materials.

Requirements

  • Bachelor's or master's degree in Computer Science, Information Technology, Data Analytics, Engineering, Business Information Systems, or a related field.
  • At least 5 years of experience in one or more of the following roles: IT Business Analyst, Technical Business Analyst, Technical Product Owner, or Data & Analytics Product Owner.
  • Proven experience working with data-driven products, business intelligence solutions, reporting platforms, or management dashboards.
  • Experience gathering, analyzing, and documenting business requirements and translating them into features and user stories.
  • Experience working in Agile environments and collaborating with multidisciplinary engineering teams.
  • Experience coordinating stakeholders across different business and IT domains.
  • Experience presenting insights, recommendations, and delivery status to senior stakeholders and management teams.
  • Understanding of Business Intelligence concepts and reporting solutions.
  • Knowledge and experience with Power BI or similar analytics platforms.
  • Understanding of data modeling, data flows, and data quality management.
  • Familiarity with Azure DevOps, backlog management, and Agile delivery practices.
  • Understanding of AI adoption metrics, productivity reporting, or software engineering analytics is an advantage.
  • Ability to create clarity in ambiguous situations, challenge assumptions, and drive data-driven decisions.
  • Effective communication with technical and non-technical stakeholders.
  • Ownership, accountability, curiosity, and a growth mindset regarding AI and emerging technologies.

Additional Advantages

  • Experience with GitHub, GitHub Copilot, Azure DevOps reporting, or engineering productivity metrics.
  • Banking or financial-services experience.
  • Experience leading cross-functional international teams.

Team

The AI Impact Dashboard provides management insights into AI usage, licensing, productivity, quality, and adoption trends across multiple domains. The role involves working with stakeholders, data engineers, data quality specialists, Power BI developers, GitHub representatives, and domain leads to shape AI reporting and decision-making within ING.

The work will support analysis of AI adoption, AI impact and value metrics, data quality and trust in AI reporting, management actions based on reported trends, and opportunities for automation and efficiency improvement.

The role naming convention in the global ING job architecture is "IT Business Analyst IV".

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