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TITietoevry

Product Owner Data, Analytics & AI(m/w/x)

Regensburg
Full-timeRemoteExperienced
AI/ML
Data Science

Curating and prioritizing backlogs for data, analytics, and AI products, aligning with product strategy and collaborating with UX/engineering. Proven Product Owner experience in agile software development required. Flexible work options.

Requirements

  • Proven experience as a Product Owner in agile software development
  • Strong ability to translate product roadmaps into backlog items
  • Familiarity with agile frameworks (Scrum/SAFe) and backlog management
  • Solid understanding of Product Management and passion for co-innovation
  • Excellent communication and stakeholder management skills
  • Analytical, structured, and value-driven mindset
  • Fluency in English
  • Experience with live/near-real-time reporting and analytical data models
  • Knowledge of modern data and AI platform architectures
  • Knowledge of data governance principles is a plus
  • Familiarity with Power BI, SQL Server (SSIS and SSAS)
  • Experience with data platform transformations
  • Ability to translate reporting and analytics use cases into product requirements
  • Experience with Azure and AI tool stack or similar tools
  • Practical experience in delivering real data or AI products into production
  • Understanding of MES data structures is a plus
  • Understanding how operational data is generated and its limitations
  • Understanding of Paper/Board business is a plus

Tasks

  • Curate and prioritize the team backlog
  • Maintain backlog items for planning alignment with product strategy
  • Lead backlog refinement sessions
  • Collaborate with UX design and engineering on specifications
  • Define and uphold the Definition of Ready and Definition of Done
  • Ensure delivery of PI Objectives while identifying risks and dependencies
  • Accept or reject completed backlog items based on acceptance criteria
  • Monitor and report on team KPIs for transparency
  • Ensure quality, testability, and automation readiness across backlog items
  • Manage interfaces, dependencies, and integration needs with other Product Owners and Architects
  • Strive for continuous improvement in processes and product outcomes

Work Experience

  • approx. 1 - 4 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishNative

Tools & Technologies

  • Power BI
  • SQL Server (SSIS and SSAS)
  • Azure
  • AI tool stack

Benefits

Learning & Development

  • Continuous learning opportunities

Mentorship & Coaching

  • Mentorship

Purpose-Driven Work

  • Personal ownership of key domain areas

Modern Equipment

  • Modern working setup

Informal Culture

  • Culture of transparency

Startup Environment

  • Co-creation
  • Experimentation
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