Data Product & Analytics Owner

Hultafors Group; Göteborgs kommun; Ibrido; SEK 900.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

Hultafors Group in Gothenburg, Sweden, seeks a Data Product & Service Owner to drive data products, analytics capabilities, and master data processes across the Group. You will work with business stakeholders, Data Engineers, architects, analysts, and leadership to ensure trusted data underpins decisions and future AI initiatives.

You will combine strategic planning with governance, prioritization, and lifecycle management of data services, owning the roadmap, managing the backlog, driving value

Competenze

• University degree in Business, Information Systems, Data & Analytics, Engineering, or related field.
• Experience as a Product Owner, Service Owner, Business Analyst, Data Analyst, or similar role.
• Experience with Data & Analytics, reporting, BI, or digital transformation initiatives.

Mansioni

• Own and manage the roadmap for Data & Analytics products and services.
• Lead prioritization of data initiatives and manage the product backlog.
• Translate business requirements into actionable development plans.
• Drive adoption and value realization of reporting, analytics, and data services.
• Collaborate with Data Engineers, architects, and business stakeholders.
• Establish governance processes for trusted, high‑quality data.
• Lead Master Data Management initiatives across the Group.
• Improve data quality, ownership, stewardship, and standards.
• Support analytics, automation, and AI initiatives.

Conoscenze

Data product ownership

Stakeholder management

Agile

Data governance

Communication

Formazione

University degree in Business, IS, Analytics, Engineering

Strumenti

Power BI

Azure/Data Platform

Data Warehouse

Descrizione del lavoro

Hultafors Group in Gothenburg, Sweden, seeks a Data Product & Service Owner to drive data products, analytics capabilities, and master data processes across the Group. You will work with business stakeholders, Data Engineers, architects, analysts, and leadership to ensure trusted data underpins decisions and future AI initiatives.

You will combine strategic planning with governance, prioritization, and lifecycle management of data services, owning the roadmap, managing the backlog, driving value