* Driving the implementation of data governance in the Finance business line, ensuring business needs are identified and prioritised, and that efforts align with organisational tools, policies and frameworks defined by the Group Data Governance team, following Data Mesh principles.
* Contributing to the development, enhancement and operationalisation of data governance frameworks, policies and standards to improve data quality, integrity, lineage, security and accessibility.
* Ensuring compliance with regulatory requirements and corporate policies, proactively identifying and mitigating risks related to data governance.
* Monitoring, measuring and enforcing data governance practices across the Finance domain, ensuring consistent adoption and adherence to best practices.
* Collaborating with business data owners, data stewards and key stakeholders to establish clear roles, responsibilities and accountability for data management.
* Acting as the primary liaison between the Finance business line, IT teams and various internal and external stakeholders, including product owners, business analysts and developers.
* Driving metadata management and data catalogue initiatives, ensuring accurate documentation of data assets, ownership and governance workflows.
* Leading the data quality programme to identify, assess, remediate and prevent data quality issues, monitoring data quality metrics and addressing 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.
* At least seven years of professional experience, including three to four years in a data governance and management role.
* Proven experience in a data management role with a focus on governance.
* Strong knowledge of data governance principles and practices, ideally in a federated or Data Mesh environment.
* Excellent leadership, communication and interpersonal skills.
* Ability to manage multiple projects and priorities in a fast-paced environment.
* Familiarity with database technologies and ETL (extract, transform, load).
* Fluent in English, both written and spoken.
* Experience with data visualisation tools and techniques.
* Familiarity with artificial intelligence related topics.
* CDMP accreditation or strong familiarity with the DAMA DMBOK framework.
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