Tietoevry
10000+ employees
Information Technology and Services
Software Development
Consulting
About Tietoevry
Tietoevry is a leading Nordic software and services company that provides IT and product engineering services to businesses and the public sector. The company focuses on digital transformation, cloud services, and software development, aiming to create sustainable and innovative solutions for its customers. With a strong presence in the Nordics and global operations, Tietoevry serves industries such as healthcare, finance, energy, and public administration. Their mission is to enable their customers to succeed in a digital world by combining deep industry knowledge with technology expertise.
3 months ago
Product Owner Data, Analytics & AI
Full-time
Mid Level
Product Owner Data, Analytics & AI
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Description
- 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.
- Your responsibilities include prioritizing and maintaining the team backlog, leading backlog refinement, defining and upholding the Definition of Ready and Done, ensuring delivery of PI Objectives, monitoring KPIs, and working with other Product Owners and Architects on interfaces and dependencies.
- The role requires proven experience in agile environments, especially related to Data, Reporting, and AI, with skills in translating roadmaps into requirements, managing backlogs, and stakeholder engagement.
- Knowledge of live/near-real-time reporting, data platform architectures, data governance, Power BI, SQL Server, Azure, and AI tools is essential.
- The position offers influence on product success, continuous learning, flexible working, and close collaboration with leadership and stakeholders.
- The company values diversity, equity, and inclusion, fostering an innovative and open culture.
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Requirements
- 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.
- 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.
- Familiarity with Power BI, SQL Server (SSIS and SSAS).
- Experience with data platform transformations (more modular with a clear product definition, Business Value driven).
- Ability to translate reporting, analytics, and AI use cases 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.
- 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.
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Benefits
- Influence on the success of the 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.
- Diversity, equity, and inclusion initiatives fostering an inspiring workplace.