Data Product Strategist

il y a 6 jours


Bruxelles, Région de Bruxelles, Belgique Scalian Temps plein

About Scalian

We are a leading multinational engineering consultancy firm with over 30 years of experience in innovation and expertise. Our team of industry leaders serves various technology sectors, including automotive, aerospace, medical, defense, rail, and energy.

Our focus on Digital Systems and Operational Performance sets us apart in the industry, with a strong emphasis on IT, software, and systems engineering, quality assurance, supply chain management, and project management.

We are seeking a Data Product Owner for one of our preferred clients in the retail industry. The successful candidate will define the vision, strategy, and roadmap for domain-specific data products while ensuring they meet internal and external stakeholder needs.

Key Responsibilities:

  • Define the vision, roadmap, and value proposition for data products.
  • Align data strategy with business objectives, delivering actionable insights and value.
  • Prioritize product development based on stakeholder needs and impact.
  • Act as the primary point of contact for stakeholders (e.g., marketing, finance, supply chain).
  • Translate business requirements into data product features and user stories.
  • Ensure data products adhere to data mesh principles (domain ownership, decentralized governance).
  • Partner with engineers to design scalable, high-quality data products.
  • Monitor KPIs to measure product success and quality.
  • Ensure data compliance with governance, privacy, and security standards.
  • Continuously gather feedback and improve data product usability.

Required Skills and Qualifications:

  • Bachelor's/Master's in Data Science, Business Analytics, Computer Science, or related field.
  • Fluency in English, French, and Dutch preferably.
  • Proven experience as a Product Owner, Product Manager, or Data Manager in a data mesh environment.
  • Strong understanding of data management concepts (governance, quality, metadata).
  • Experience with modern data tools (e.g., Snowflake, AWS, Databricks, BI tools, SQL).
  • Knowledge of Agile methodologies and tools (e.g., Jira, Confluence).
  • Customer-centric mindset.
  • Strong collaboration and leadership skills.

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