The successful candidate will ensure best practices in data modeling are followed, promote consistency and scalability, and work closely with data engineering to deploy robust, business-ready solutionsKey responsibilitiesLead and mentor a team of data modelers, ensuring adherence to Data Vault 2.0 principles and data modeling best practices.Guide collaboration of the modelers with subject matter experts and product owners to define and refine business conceptual models.
Facilitate workshops and effectively communicate business models to key stakeholders.Oversee the translation of business models into logical and technical data models.Ensure alignment of models with technology constraints by working closely with data engineers.Coordinate the data modelers efforts with visualization experts to deliver models that meet reporting and analytics needs.Establish modeling standards and conduct regular reviews to ensure quality and consistency.Job requirementsProven experience leading data modeling teams in an enterprise environment.Deep expertise in Data Vault 2.0 modeling, including hubs, links, and satellites.Strong understanding of data warehousing concepts, business intelligence, and analytics requirements.Experience collaborating with business stakeholders, data engineers, and visualization experts.Excellent documentation and communication skills, with the ability to translate complex concepts for diverse audiences.Proficiency with automated data modeling and ETL tools.Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.What we offerEnterprise-wide influence – Shape the design and structure of data models that underpin reporting and AI solutions across all business units, ensuring data consistency and high impact.Innovation with purpose – Develop and implement advanced data modeling techniques that enable the creation of meaningful AI models and BI tools to address real business challenges.A collaborative ecosystem – Work alongside digital partners, business leaders, and external experts to deliver unified, trusted data models that support cohesive analytics.A culture of trust and ethics – Lead the development of data models with integrity, ensuring all solutions adhere to the highest standards of fairness, transparency, and compliance.ContactIf you are interested, please apply directly or send your CV to ******
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