Staff Data Governance (all genders)

Job description

About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. About the Role: As Gropyus moves into the next phase of scaling up, we anticipate our Data growing rapidly. As such, we’re looking for an experienced, enthusiastic Data Governance professional to join the Data and AI vertical. This role reports directly to the Head of Data and AI and will act as a high-level individual contributor as well as a strategic thought partner for not only the Data Leadership team (consisting of Head, Managers, and Product partners) but partners across Gropyus . A successful candidate in this role will help us apply our Semantic Ontologies to our centralized Data Fabric as well as consult and advise tech domain expert teams on improving resilient, secure and well-documented data in accordance with compliance standards and in partnership with our Governance, Risk & Compliance team. They will lead initiatives such as expanding our current Data Management offerings for the Data Fabric, integrating securely and effectively with AI agents and services, and implementing stronger processes for data provenance within the Tech department. What you'll be doing: Define, develop, implement and maintain the data governance framework, policies, standards, and procedures. Contribute to the strategy of the Data Team including proposing and leading governance initiatives for both team roadmaps and potentially the larger company operational milestone. Pairing with our process specialists, drive to best practices in data management including Data contracts, SOPs, retention, and access control. Lead and report on data quality initiatives: metrics, monitoring, remediation, profiling, and continuous improvement. Drive improvements to our Data Catalog and metadata management within Tech. Identify and help manage data-related risks; collaborate on audits and compliance reviews. Contribute to o…