Product owner & AI Data Analystics

Are you a skilled Product Owner and AI Data Analytics? Would you like to be part of Hilding Anders’ journey to becoming a truly consumer focused health & wellness company, offering leadership in innovative sleep solutions? Then you may be our new Product Owner and AI Data Analytics who we can offer an exciting career opportunity in a truly international and entrepreneurial environment! About the Hilding Anders familyHilding Anders is a leading SLEEP company within the health and wellness industry, offering a wide array of products that help people sleep better. As a team of close to 3,500 individuals based across Europe and Asia, we are driven to become the global leader in sleep products and services. With a broad portfolio ranging from luxury and premium to private label and international to local brands, we are proud to deliver sleep products and services for all needs in over 40 countries worldwide. LOCATIONThe role will be based at our HQ in Malmö, Sweden. About the roleHilding Anders is looking for an experienced Product Owner to lead our AI initiative and own how artificial intelligence is applied across our data, reporting, and planning landscape. You will drive the identification, prioritization, and delivery of AI and automation opportunities across the business, while also acting as the primary expert across our existing systems — IBM Cognos DataWarehouse, our ETL pipelines connected to the Infor M3 Datalake, and Power BI — ensuring these continue to deliver reliable, timely, and insightful data while we transition toward more AI-driven ways of working. This is a technically hands-on role with strong business impact and a clear mandate to modernize. You will collaborate closely with Finance, Operations, Sales, and IT to identify where AI can create the most value, then take those ideas from proof-of-concept through to production. In parallel, you will keep our current Power BI solution reliably maintained until a suitable AI-driven or next-generation replacement is in place — and help shape that transition as AI takes on more of the work Power BI handles today. Key responsibilities AI initiative ownership Define and drive Hilding Anders' AI roadmap for data, reporting, and planning — identifying and prioritizing high-value use cases across Finance, Operations, and Sales.Evaluate and pilot AI and automation tools (e.g., generative AI, predictive or ML models, Copilot-style assistants) to improve reporting, forecasting, and data workflows.Own business cases, prioritization, and stakeholder buy-in for AI initiatives, working with IT leadership to secure the right investment and governance.Track the adoption, value, and risk (data quality, model accuracy, responsible use) of AI solutions once they are in production. AI integration across our systems Identify where AI can enhance the IBM Cognos DataWarehouse and reporting layer, from automated insights to natural-language querying.Maintain a working understanding of the Cognos, ETL/M3, and Power BI architecture so AI initiatives are integrated with — not layered on top of — our existing systems.Partner with IT and vendors to assess new AI capabilities (e.g., Copilot in Fabric/Power BI, Infor M3 ION Analytics AI features) as they become available. Power BI maintenance & transition planning Maintain and support the existing Power BI that the business relies on today.Manage Power BI workspace governance, access control, and deployment pipelines until a longer-term platform decision is made.Assess where AI-driven reporting or automation could eventually replace parts of the current Power BI solution, and build the roadmap for that transition. Stakeholder collaboration & change management Work with Finance, Sales, Operations, and senior management to identify AI opportunities and gather requirements for BI solutions that support strategic decision-making.Act as the key change agent for AI adoption — training business users, managing expectations, and building trust in new AI-assisted tools.Provide second-line support to business users of BI and planning tools throughout the transition period.Maintain documentation covering data definitions, model logic, report specifications, ETL mappings, and AI initiative decisions. Required qualifications Education & experience Degree in Computer Science, Data/AI, Business Intelligence, Information Systems, or equivalent practical experience.4–7 years of hands-on experience in BI, analytics, or data roles, with demonstrated exposure to AI or ML projects.Proven track record of taking AI or automation initiatives from idea to production in a complex, multi-source data environment. Technical skills AI: hands-on experience applying AI in a business or BI context — for example, generative AI (Copilot, ChatGPT, Claude), AI-assisted automation of data workflows.Power BI: DAX, Power Query (M), semantic modelling, and Power BI Service administration.ETL & data integration: experience with ETL tooling and pipelines feeding from ERP / Datalake sources.Infor M3 data: familiarity with M3 data structures, the M3 Datalake, and core ERP business processes.SQL: strong SQL / T-SQL skills for data modelling, transformation, and troubleshooting.Programming for AI & data: Python or R for data preparation, model development, or workflow automation. Domain knowledge Strong understanding of financial planning, budgeting, and forecasting processes.Familiarity with retail or manufacturing business processes — sales, inventory, supply chain, and operations reporting.Experience translating business requirements into data models, analytical outputs, and AI-driven use cases. Nice to have Microsoft Power BI certification (PL-300 or equivalent).Experience with cloud-based AI or data platformsExperience with BI governance, data catalogue tools, or master data management.Knowledge of Infor M3 reporting modules or ION Analytics.Experience with prompt engineering, retrieval-augmented generation (RAG), or building AI agents/copilots. Personal attributes Forward-looking & curious: genuinely excited about AI's potential and proactive about finding practical ways to apply it.Data-driven mindset: passionate about turning raw data into clear, actionable business insight.Pragmatic change agent: able to bring people along on a technology transition without disrupting day-to-day operations.Strong communicator: able to present complex data and AI concepts clearly to Finance and business leadership.Self-directed: comfortable managing multiple priorities and delivering autonomously in a lean team. YOUR APPLICATIONPlease send your application to amanda.kozul@hildinganders.com We look forward to receiving your application (CV + motivational letter in English) as soon as possible as we will be reviewing applications on a continuous basis.