Senior Product Manager - Data

Description

• Champion the vision, strategy, and roadmap for data products, ensuring their alignment with broader company objectives.
• Gather, analyse and document business requirements from various stakeholders, translating them into clear, concise, and actionable user stories and acceptance criteria
• Prioritise the data product backlog based on business value, technical feasibility, and strategic importance through leading refinement sessions
• Collaborate closely with data teams to ensure the timely and efficient delivery of data products
• Collaborate with business stakeholders to understand data requirements, ensure data quality, and facilitate the development of data-driven insights
• Manage the complete lifecycle of multiple data products, from concept and design to development, launch, and gather feedback for continuous improvement
• Monitor and evaluate the performance of data products, using data to identify areas for improvement and iteration
• Serve as the primary point of contact for business stakeholders regarding new product features. Furthermore, communicate regularly with stakeholders on product progress, challenges, and successes
• Champion internal promotion of the data products through posts, training and leading internal demo sessions to confirm that the delivered work aligns with expectations
• Stay up-to-date with industry trends and emerging technologies in data and analytics
• Lead, coach and mentor of Product Managers and team members in best practices for agile, stakeholder management and delivery
  
      

• 5+ years in product management of complex with high complexity, ideally in fast-paced/regulated environments
• A Bachelor's degree in Business, Technology, Science, or a related discipline
• Solid understanding of data warehousing, ETL processes, and data modelling concepts
• Familiarity with agile methodologies (Scrum, Kanban)
• Excellent communication, interpersonal, and presentation skills
• Demonstrated leadership, mentorship, and change management experience
• Strong analytical and problem-solving abilities
• Ability to work independently and as part of a cross-functional team
     

• Experience in the iGaming industry
• Knowledge of cloud data platforms (e.g., AWS, GCP, Azure)
• Experience with SQL and data visualisation tools (e.g., Tableau, Power BI)
• Understanding of machine learning concepts and their application in data products
• Relevant certifications in product management or data analytics
  
  

• Hybrid work policy
• 4 weeks of Workation (T&C apply)
• 30 annual vacation days
• Occupational Pension
• 5,000 SEK wellness contribution annually
• Parental Leave Top-Up
• Possibility to enrol in a private health care insurance for both you and your partner
• 1,500 SEK equipment allowance
• Benify - benefits portal with many offers and discounts