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Product Owner - IT Business Analyst

ING658 open roles

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Katowice Zabrska 19
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Your applicationOpen nowProduct Owner - IT Business AnalystING · Katowice Zabrska 19
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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. ING postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

ING median: 14 days open

The posting

ING Hubs Poland is hiring!

The expected salary for this position: 13.000 - 24.000 PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for a passionate and inspiring Product Owner - IT Business Analyst to join the AI Impact Dashboard team within ING.

We are looking for you if you:

  • Have bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Engineering, Business Information Systems, or a related field.
  • Have minimum 5 years of experience in one or more of the following roles: IT Business Analyst; Technical Business Analyst; Technical Product Owner; Data & Analytics Product Owner
  • Have proven experience working with data-driven products, business intelligence solutions, reporting platforms, or management dashboards.
  • Have experience in gathering, analysing and documenting business requirements and translating them into features and user stories.
  • Have experience working in Agile environments and collaborating with multidisciplinary engineering teams.
  • Have experience coordinating stakeholders across different business and IT domains.
  • Have experience presenting insights, recommendations and delivery status to senior stakeholders and management teams.
  • Have understanding of Business Intelligence concepts and reporting solutions.
  • Have knowledge and experience with Power BI or similar analytics platforms.
  • Have understanding of data modelling, data flows and data quality management.
  • Have familiarity with Azure DevOps, backlog management and Agile delivery practices.
  • Have understanding of AI adoption metrics, productivity reporting or software engineering analytics will be considered a strong asset.
  • Can create clarity in ambiguous situations.
  • Can challenge assumptions and drive data-driven decisions.
  • Communicate effectively with both technical and non-technical stakeholders.
  • Demonstrate ownership and accountability.
  • Show curiosity and a growth mindset, especially regarding AI and emerging technologies.

You'll get extra points for:

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

Your responsibilities:

Product Ownership & 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
  • Help prioritize enhancements based on business value, technical dependencies, and stakeholder needs
  • Ensure alignment between dashboard development and business objectives

Business Analysis & Stakeholder Management

  • Gather and analyze requirements from Management Teams, SRE leads, domain representatives and other 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 & 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 & Governance

  • Support initiatives focused on improving data quality, completeness, and consistency
  • Coordinate investigation 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 & Insights

  • Analyze trends in AI adoption, licensing, usage, productivity, quality, and costs
  • Translate metrics into management insights and actionable recommendations
  • Support 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

Information about the team

The AI Impact Dashboard is one of the key initiatives supporting AI adoption and value measurement across ING. The platform provides management insights into AI usage, licensing, productivity, quality, and adoption trends across multiple domains.

In this role, you will combine product ownership, business analysis and technical leadership responsibilities. You will work closely with stakeholders, data engineers, data quality specialists, Power BI developers, GitHub representatives and domain leads to shape the future of AI reporting and decision-making within ING.

As part of the AI Impact Dashboard team, you will help ING answer questions such as:

  • How effectively are AI solutions being adopted across the organization?
  • Which metrics best represent AI impact and value?
  • How can we improve data quality and trust in AI reporting?
  • What actions should management take based on the reported trends?
  • Where can automation improve efficiency and reduce manual effort?

Your work will directly influence how ING measures, understands, and scales AI adoption across the organization.

The role naming convention in the global ING job architecture will be “IT Business Analyst IV”

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