Product Owner Data, Analytics & AI - Tieto Indtech (m/f/d)

Навыки

• Agile
• Azure
• Работа с бэклогом
• Data Governance
• Data Quality
• Лидерство
• MES / TMS / PLM

Задачи

• Curate, prioritize, and maintain the team backlog, ensuring items are ready for planning and aligned with product strategy
• Lead backlog refinement and collaborate with UX design, and engineering on specifications and testability
• Define and uphold the Definition of Ready and Definition of Done with the team
• Ensuring delivery of PI Objectives and identifying risks and dependencies
• Accept or reject completed backlog items based on acceptance criteria and DoD
• Monitor and report on team KPIs, ensuring transparency via backlogs, boards, and metrics
• Ensure built-in quality, testability, and automation readiness across backlog items
• Work with other Product Owners and Architects to manage interfaces, dependencies, and integration needs
• Strive for continuous improvement in processes, practices, and product outcomes
• Job Description

Требования

• Proven experience as a Product Owner in an agile software development environment in the context of Data, Reporting and AI
• Strong ability to translate product roadmaps into concrete backlog items and actionable requirements
• Familiarity with agile frameworks (Scrum/SAFe) and backlog management practices
• Solid understanding of Product Management and passion for co-innovation with customers
• Excellent communication and stakeholder management skills—able to clarify intent, align priorities, and engage customers
• Analytical, structured, and value-driven mindset with the ability to balance competing priorities
• Fluency in English
• Experience with live/near-real-time reporting , dashboarding, and analytical data models, including best practices for handling high-frequency operational data
• Knowledge of modern data and AI platform architectures (e.g., event-driven data pipelines, message-based integrations, hybrid transactional/analytical patterns)
• Knowledge of data governance principles is a plus—data quality, lineage, access control, and metadata—especially in regulated contexts
• Familiarity with Power BI , SQL Server (SSIS and SSAS)
• Experiences with data platform transformations (more modular with a clear product definition, Business Value driven)
• Ability to translate reporting, analytics, and AI use cases (e.g., performance insights, anomaly detection, process optimization) into concrete product requirements
• Experience with Azure and AI tool stack (OpenAI / Azure AI Services) or similar tools, including model fine-tuning, prompt engineering, vectorization/embeddings, and responsible AI practices
• Practical experience in delivering real data or AI products into production , not only prototypes or dashboards
• Understanding of MES data structures is a plus (event flows, and how operational data is generated, transformed, and consumed across modules)
• Understanding how operational data is generated, its limitations, and how variability in manufacturing processes affects reporting and analytics
• Understanding of Paper/Board business is a plus
• Are you ready to take ownership, drive value, and help shape the future of our product?
• As a Product Owner, you are the link between vision and execution
• You translate the product strategy into concrete development items and ensure delivery together with cross-module teams
• Working closely with Product Management, other Product Owners, developers, and business stakeholders, you break down the roadmap into actionable work, maintain the team backlog, and represent customer and market needs
• With your understanding of Product Management principles and a co-innovation mindset, you enable us to continuously improve and deliver impactful, high-quality solutions
• Beyond internal alignment, you also engage directly with customers to gather insights, validate solutions, and drive co-innovation lead by the Product Manager

Условия

• Direct influence on the success of our product roadmap in a fast-growing, innovative environment
• Continuous learning opportunities, mentorship, and personal ownership of key domain areas
• A modern, flexible working setup and a culture that values transparency, co-creation, and experimentation
• Close collaboration with Product Management, technology leadership, and customer stakeholders

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