Data Governance Lead Porto

Data Governance Lead
Porto
Porto, Porto District, Portugal

* Within the framework of a federated data governance model based on Data Mesh Principles, drive the implementation of data governance in the IT Market Services business line, ensuring business needs are identified and prioritized, and that efforts align with organizational tools, policies, and frameworks defined by the group data governance team. * Contribute to the development, enhancement, and operationalization of data governance frameworks, policies, and standards to improve data quality, integrity, lineage, security, and accessibility. * Ensure compliance with regulatory requirements and corporate policies, proactively identifying and mitigating risks related to data governance. * Monitor, measure, and enforce data governance practices across the domain, ensuring consistent adoption and adherence to best practices. * Collaborate with business data owners, data stewards, and key business stakeholders to establish clear roles, responsibilities, and accountability for data management. Serve as the primary liaison between the Business line, IT Teams and various internal and external stakeholders like Product Owners, Business Analysts, Developers. * Drive metadata management and data catalog initiatives, ensuring accurate documentation of data assets, ownership, and governance workflows. * Drive data quality programme to identify, assess, remediate and prevent data quality issues that hinder the business in achieving their objectives in a timely and trusted manner. Monitor data quality metrics; identify and address data quality issues in collaboration with stewards and technical teams. * Bachelor's or master's degree in data science, Computer Science, Information Technology, or other STEM disciplines. * 10+ years of professional experience with 5-8 year in Data Governance and Management role. * Proven experience in a data management role with a focus on management. * Strong knowledge of data governance principles and practices. * Excellent leadership, communication, and interpersonal skills. * Ability to manage multiple projects and priorities in a
- paced environment. * Familiarity in database technologies and ETL (Extract, Transform, Load). * Experience with data visualization tools and techniques. * Familiarity with Artificial Intelligence related topics. * CDMP accreditation or strong familiarity with the DAMA DMBOK framework.

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