• Lead the cataloging and enrichment of priority data domains within the enterprise data catalog platform, ensuring completeness of business descriptions, CDE designations, sensitivity labels, lineage documentation, and data ownership assignments. • Design, implement, and maintain data quality monitoring frameworks and observability patterns across critical datasets; lead root cause analysis and issue remediation efforts in collaboration with Data Stewards, Data Owners, and engineering teams. • Oversee and maintain the business glossary, data dictionary, and critical data elements (CDEs), driving alignment between business domain leads and technical teams on authoritative definitions and metric standards. • Lead cross-functional workstreams to operationalize Data Trust processes including stewardship onboarding, certification reviews, governance policy enforcement, and data access governance. • Perform advanced data profiling, analysis, and lineage tracing across source and target systems to support certification readiness, compliance requirements, and AI enablement initiatives. • Develop and maintain Data Trust metrics, scorecards, and reporting dashboards that track catalog coverage, data quality health, certified asset counts, and stewardship adoption. • Act as a subject matter expert and trusted advisor to Data Owners, Data Stewards, technical teams, and business leaders on data governance expectations, issue prioritization, and data quality remediation strategies. • Design and document improvements to data governance processes, metadata standards, and data quality frameworks, and present recommendations to the Senior Manager, Data Trust. • Mentor and support junior Data Governance Analysts, providing coaching on tools, governance techniques, and best practices for metadata management and quality assurance. • Support the governance of AI-ready data assets by ensuring certified datasets meet quality, lineage, sensitivity, and documentation standards required for consumption by analytics and AI systems.

• Create and update strategic performance dashboards and reports. • Monitor key performance indicators (KPIs) for projects. • Analyze the impact of campaigns and activations. • Generate strategic, data-driven insights. • Provide data to support decision-making. • Track the financial outcomes of activations and events. • Build automations to streamline monitoring and data analysis.

• Analyze data and generate insights to support decision-making. • Develop and maintain dashboards, reports, and business KPIs. • Support the maintenance and evolution of AI applications and production environments. • Identify opportunities for process automation and optimization. • Collaborate with business areas to turn data into strategic information.

• Collaborate with teams across the globe and with internal stakeholders, which may require adjusting shift timings to manage calls and tasks effectively. • Directly impact multiple KPIs within Risk Management and drive and support key initiatives. • Analyse data to optimize existing processes and develop new solutions. • Work virtually with teams across geographies with some opportunities to travel for in-person collaboration.