Product Owner (Data, Analytics & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Owner (Data, Analytics & AI): Managing the development of data-driven and AI solutions for industrial applications with an accent on real-time reporting, analytical data models, and AI platform architecture. Focus on translating product roadmaps into actionable backlogs, integrating Azure AI services, and delivering production-ready data products.
Location: Remote (Finland)
Company
is a leading software and technology consulting company providing mission-critical solutions across various industries.
What you will do
- Translate product strategy into concrete development items and maintain the team backlog
- Lead backlog refinement and collaborate with UX and engineering on specifications
- Define and uphold the Definition of Ready (DoR) and Definition of Done (DoD)
- Manage interfaces and dependencies with other Product Owners and Architects
- Engage directly with customers to validate solutions and drive co-innovation
- Monitor and report on team KPIs to ensure transparency and delivery of objectives
Requirements
- Proven experience as a Product Owner in agile environments focused on Data, Reporting, and AI
- Proficiency with agile frameworks such as Scrum and SAFe
- Experience with live/near-real-time reporting, dashboarding, and analytical data models
- Knowledge of modern data and AI platform architectures (e.g., event-driven pipelines)
- Experience with Azure and AI tool stack (OpenAI / Azure AI Services)
- English: Fluency required
Nice to have
- Knowledge of data governance principles (quality, lineage, access control)
- Familiarity with Power BI and SQL Server (SSIS and SSAS)
- Understanding of MES data structures and operational data in manufacturing
- Industry knowledge of the Paper/Board business
Culture & Benefits
- Direct influence on product roadmap in a fast-growing, innovative environment
- Continuous learning opportunities and mentorship
- Modern, flexible working setup
- Culture centered on transparency, co-creation, and experimentation
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