Data Operations & Integrity Lead

Key Responsibilities

• Maintain and improve product data standards, naming conventions, image standards, and governance procedures.

• Develop and maintain catalogue taxonomies including product categories, attributes, tags, classifications, packaging hierarchies, and quality frameworks.

• Ensure catalogue structures remain scalable, practical, measurable, and aligned to business requirements.

• Support the evolution of catalogue standards as business requirements mature.

• Promote adoption of standards across the Data Operations team.

• Review proposed changes and ensure they do not compromise catalogue integrity, maintainability, or data quality.

• Develop and maintain data quality scorecards and measurement frameworks.

• Define and monitor Gold, Silver, and Bronze catalogue standards.

• Monitor catalogue maturity and identify improvement opportunities.

• Analyse quality trends and identify root causes of recurring issues.

• Prioritise and coordinate remediation activities.

• Report progress against quality improvement objectives.

• Measure request quality, completeness, and compliance.

• Monitor ticket rejection rates, clarification rates, first-time acceptance rates, and avoidable rework.

• Identify recurring deficiencies in requests submitted by business users.

• Develop templates, controls, and guidance to improve request quality.

• Provide structured feedback and coaching to business stakeholders.

• Develop and report department request quality scorecards.

• Quantify avoidable effort caused by incomplete or poor-quality requests.

• Develop productivity measures, workload models, and operational scorecards.

• Analyse workload, capacity, utilisation, and operational performance.

• Develop dashboards and reporting that provide visibility into operational effectiveness.

• Identify opportunities to simplify, standardise, automate, and improve processes.

• Support the Supervisor in balancing operational delivery and continuous improvement activities.

• Monitor the effectiveness of implemented improvements and recommend further enhancements.

• Develop verification methodologies, schedules, and sampling approaches.

• Define verification priorities using risk-based and ABC methodologies.

• Monitor verification completion and outcomes.

• Analyse verification findings and identify improvement opportunities.

• Support corrective action management and root cause analysis.

• Ensure verification activities contribute to ongoing improvements in catalogue accuracy and integrity.

• Coach the Supervisor and team members on standards, quality expectations, and continuous improvement practices.

• Support implementation of new standards, processes, and business requirements.

• Promote analytical thinking, problem solving, and ownership within the team.

• Support development of SQL, reporting, and data management capability.

• Encourage a culture of ownership, accountability, data stewardship, and continuous improvement.