Global Procurement Data Quality Lead

This role is responsible for helping the Global Procurement function make better, data-driven decisions and drive mission critical business outcomes through unlocking business value from data. The Data Quality Lead is a key member of the Global Procurement Data & Analytics leadership team responsible for the Data Quality capability aligned to HSBC’s Data management & governance standards. The role requires nurturing trusted and productive working relationships across procurement, especially global process owners, operations & digital platforms, and close collaboration with the Data & Architecture Office (DAO), IT, internal system owners, and external data vendors.

• 7+ years’ experience leading data quality initiatives with clearly demonstrable outcomes.
• Strong knowledge of data governance/management and tooling for documenting artefacts (e.g., data models, data dictionaries, Collibra).
• Solid understanding of the data and analytics delivery lifecycle, including data modelling, SQL fluency, and familiarity with data science concepts.
• Highly analytical, with a strong grasp of the value of data and the ability to apply technology solutions to meet business needs.
• Resourceful and inquisitive, able to build subject matter expertise quickly and tackle complex problems creatively.
• Proven ability to operate in a fast-paced environment, managing multiple deliverables while showing resilience, ownership, and accountability through to resolution.
• Strong project management capability, able to drive cross-functional delivery within time, cost, and quality constraints (including influencing without authority).
• Confident communicator and trusted advisor to senior stakeholders—able to negotiate, challenge constructively, and translate technical concepts for non-technical audiences in a global, regulated environment (data privacy awareness; GCP/QlikSense and architecture/process mapping knowledge preferred).

• Own the Global Procurement Data Quality (DQ) framework (standards, critical data elements, controls, and scorecards) aligned to HSBC data governance expectations.
• Set DQ improvement priorities; coordinate delivery, track progress, and report outcomes to senior stakeholders, linking impacts to business KPIs.
• Maintain a rules library for key processes and proactively monitor DQ via dashboards/automated controls; identify new issues, prioritise, and lead root-cause analysis with process owners to agree remediation.
• Build strong partnerships across Procurement, Technology, and data governance to embed DQ into day-to-day operations; establish and run cross-functional working groups and provide updates via the Procurement Design Authority.
• Ensure change and transformation programmes incorporate DQ and data integrity activities in plans, with quantitative outcomes agreed and signed off at design stage.
• Define practical “ready for AI” criteria (lineage, stability, metadata) for procurement datasets and certify compliance before use in AI use cases.
• Design and oversee a Data Drift Monitoring framework to protect ML model integrity and detect model decay early.
• Act as a trusted advisor and representative for Global Procurement: lead complex problem-solving with ExCo+1 stakeholders, transform DQ reporting into action-led insights tied to operational risk/business impact, and share best practice via bank-wide DQ forums.