Lead Data Quality Specialist

Finastra's Global Data Office is responsible for the strategy, governance, and enablement of data assets across 130+ countries globally to unlock innovation for our business units and 8000+ customers, including 90% of the world's top banks. Reporting to the Global Head of Data Governance, this position will play a key role on the Enterprise Data Governance team, supporting the implementation and ongoing development of data governance initiatives across Finastra. It involves both business and technical responsibilities, with an emphasis on assisting in the development, configuration, and maintenance of Finastra's enterprise data governance systems. The purpose is to maintain the security, accessibility, quality, usability, and integrity of critical data assets. The successful candidate will support the Global Data Office in advancing Finastra's data governance strategies and solutions aimed at enhancing the technical infrastructure that underpins our governance framework. This team will help drive a global transformation Finastra's data governance program, which will not only meet and exceed security, regulatory and compliance requirements, but also accelerate innovation in the development of data, analytic and AI products, unlocking new opportunities for monetization.

Responsibilities & Deliverables

• Lead the design, implementation, and continuous improvement of enterprise-wide data quality frameworks, standards, and best practices.
• Define and monitor key data quality metrics (e.g., accuracy, completeness, consistency, timeliness) across critical data domains.
• Collaborate with data owners, stewards, and business stakeholders to identify and remediate data quality issues.
• Drive root cause analysis and implement sustainable solutions for recurring data quality problems.
• Develop and maintain data quality dashboards and reporting to provide transparency and accountability.
• Support data governance initiatives by aligning data quality efforts with regulatory and compliance requirements (e.g., BCBS 239, GDPR).
• Partner with technology teams to integrate data quality tools and automation into data pipelines and platforms.
• Provide leadership and guidance to data quality analysts and contribute to the development of a data quality center of excellence.
• Communicate data quality insights and recommendations to senior leadership and cross-functional teams.
• Contribute to the development of data quality training materials and promote a culture of data accountability across the organization.

Required Skills & Experience

Qualifications

Skills Required

Java, Collibra, Scala, Data Profiling, Informatica, Python, Sql