Product Owner – IT Business Analyst

ING

. Support development of the AI Impact Dashboard vision and roadmap .

Posted 11/6/2026full-timeKatowice • PolandMid-LevelSenior💰 PLN 13,000 - PLN 24,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming business needs into actionable product features and user stories, with a strong focus on data-driven decision-making and stakeholder collaboration. Proficient in managing Agile delivery processes and utilizing Power BI for business intelligence and reporting.

Highest-signal resume keywords

Power BI ExpertiseAgile MethodologiesBusiness Requirements AnalysisStakeholder CoordinationData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness Intelligence SolutionsReporting PlatformsData ModellingUser Story DevelopmentFeature TranslationAI Adoption MetricsSoftware Engineering AnalyticsBacklog ManagementTechnical Product Ownership

Soft Skills

Effective CommunicationOwnership and AccountabilityCuriosity and Growth MindsetAbility to Create ClarityChallenging Assumptions

Tools & Technologies

Power BIAzure DevOpsGitHubGitHub Copilot

Industry Keywords

BankingFinancial ServicesData GovernanceCross-Functional Team LeadershipReporting Definitions

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Support 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
Gather and analyse 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
Coordinate 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
Support data quality, completeness and consistency initiatives
Coordinate investigation of discrepancies across source systems and reporting layers
Collaborate with data owners and engineering teams on issue resolution and data governance
Identify opportunities for automation and reduction of manual processes
Ensure transparency regarding data limitations, assumptions, refresh cycles and reporting scope
Analyse 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
Shape AI reporting and decision-making within ING through collaboration with stakeholders, data engineers, data quality specialists, Power BI developers, GitHub representatives and domain leads

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Engineering, Business Information Systems, or a related field
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
Proven experience working with data-driven products, business intelligence solutions, reporting platforms, or management dashboards
Experience gathering, analysing 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 modelling, 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 considered a strong asset
Experience with GitHub, GitHub Copilot, Azure DevOps reporting or engineering productivity metrics is an extra point
Banking or financial-services experience is an extra point
Experience leading cross-functional international teams is an extra point
Ability to create clarity in ambiguous situations
Ability to challenge assumptions and drive data-driven decisions
Effective communication with technical and non-technical stakeholders
Ownership and accountability
Curiosity and growth mindset regarding AI and emerging technologies