Job Purpose
To lead and operationalise the Master and Reference Data Management (MRDM) capability across Group Finance and Group Human Resources, ensuring critical master and reference data is consistently defined, governed, controlled and consumed across business processes, systems and reporting activities.
The role is responsible for establishing and maintaining a trusted, single source of truth for critical data domains through effective governance, stewardship, lifecycle management, quality controls and stakeholder engagement.
The incumbent will drive data management maturity, improve reporting integrity, support regulatory compliance and enable informed decision-making through strong data management practices.
Key Accountabilities
Master & Reference Data Governance
Lead the implementation and continuous improvement of the Master and Reference Data Management capability.
Establish and maintain enterprise standards, policies, frameworks and controls for master and reference data.
Define and govern data domains, business rules, ownership models, stewardship structures and accountability requirements.
Drive the adoption of consistent data definitions and standards across Finance and HR.
Facilitate governance forums responsible for data approvals, policy decisions and issue escalation.
Promote and maintain a single source of truth for critical enterprise data assets.
Data Lifecycle Management
Manage the end-to-end lifecycle of master and reference data, including creation, validation, approval, publication, maintenance and retirement.
Ensure effective change control, governance and approval processes are embedded across business and technology teams.
Drive continuous improvement of lifecycle management practices and controls.
Data Quality, Risk & Control
Design and implement controls that improve the quality, integrity and reliability of master and reference data.
Monitor data quality metrics, trends and exceptions.
Lead root cause analysis and remediation activities for data-related issues.
Partner with Governance, Data Quality and System Risk teams to strengthen enterprise data controls.
Business Partnership & Advisory
Act as a trusted advisor on Master and Reference Data Management practices.
Collaborate with Data Owners, Data Stewards, Business Data Managers and Technology teams.
Influence decision-making through expert guidance on data standards, ownership, quality and lifecycle controls.
Support strategic initiatives, business change programmes and regulatory projects requiring MRDM expertise.
Metadata & Data Management Enablement
Ensure critical master and reference data is supported by appropriate business definitions, metadata and lineage.
Partner with Metadata Management teams to improve traceability, transparency and regulatory readiness.
Support data discoverability and business understanding through effective metadata management practices.
Process Improvement, Automation & Innovation
Identify opportunities to automate and optimise data management processes.
Promote the use of data management technologies, workflow automation and reporting automation.
Leverage technology, scripting and modern data management practices to improve efficiency, control effectiveness and data quality outcomes.
Support innovation initiatives that enhance Data Management Office capabilities and maturity.
Minimum Experience & Qualifications
7 - 10 years' experience in Data Management, Data Governance, Master Data Management or related disciplines.
Proven experience implementing and managing data governance or Master and Reference Data Management frameworks.
Strong stakeholder engagement, influencing and relationship management skills.
Experience within financial services, banking or other regulated industries will be advantageous.
Exposure to Finance, Regulatory Reporting, Risk or Human Resources data domains is desirable.
Experience working with SAP, data integration, cloud platforms, reporting and analytics environments will be advantageous.
Technical & Professional Competencies
Master & Reference Data Management (MRDM)
Data Governance
Data Quality Management
Metadata Management
Data Ownership & Stewardship
Data Lifecycle Management
DAMA Data Management Framework
BCBS239 Principles
Data Standards and Controls
Root Cause Analysis
Reporting & Analytics
Stakeholder Management
Desirable technical exposure
Data automation and process optimisation
Python or similar scripting languages
SQL and data querying concepts
AI and intelligent automation fundamentals
Data integration and API concepts
Success Measures
Success in the role will be demonstrated through:
Adoption of MRDM standards and governance practices across Finance and HR.
Effective ownership and stewardship of critical master and reference data domains.
Improved data quality, consistency and integrity across systems and reporting environments.
Reduction in recurring data issues and strengthened control effectiveness.
Increased governance maturity, audit readiness and regulatory compliance.
Greater use of automation and modern data management practices to improve operational efficiency.
Increased business confidence in enterprise data assets and decision-making.
Behavioural Competencies
Building Partnerships
Customer Focus
Decision Making
Facilitating Change
Inspiring others
Business Acumen
Building Organizational Talent
Compelling Communication
Closing date: 03 August 2026