Lead Specialist managing the implementation of data quality best practices and driving regulatory compliance at the FCA. Focused on strategic decision-making and enhancing data integrity for effective oversight.
Responsibilities
Lead the implementation and embedding of data quality best practices to ensure accuracy and reliability in regulatory datasets, strengthening compliance and stakeholder trust
Support the Manager in the development and planning of the team strategy
Oversee targeted data analysis to identify root causes of data issues, enabling timely remediation and reducing operational risk
Own the development and maintenance of robust data management processes using industry governance standards to enhance resilience and data integrity
Design and sustain data quality frameworks for monitoring and control, empowering strategic decision-making with reliable insights
Produce actionable MI and benchmarking reports that highlight performance and trends, driving continuous improvement and competitive advantage
Supervise the building of automated dashboards and monitoring tools to detect anomalies and trigger real-time remediation workflows, increasing efficiency
Direct line management for 3 team members
Requirements
Demonstrated experience implementing new or overseeing change related data quality projects and transitioning to BAU
Understanding and practical experience of data quality concepts including business rules, data quality dimensions, metrics, profiling and remediation
Solid understanding of data governance principles and practices including experience in establishing data quality standards, policies and procedures to ensure data integrity and compliance with regulatory requirements
Capacity to adjust effectively as workplace tasks and objectives evolve
Demonstrated stakeholder management skills with the ability to engage at all levels and present credible findings to deliver positive outcomes
Skilled in producing concise and persuasive written outputs and clearly communicating complex issues verbally in an accessible manner
Proficient in identifying and fixing data quality issues and providing effective root cause solutions
Effective communication skills, with ability to explain complex, technical matters clearly and concisely
Knowledge of industry standards such as ISO and DAMA
Benefits
25 days annual leave plus bank holidays
Hybrid model where employees work a minimum of 40% in the office each month
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
35 hours of paid volunteering annually
A flexible benefits scheme designed around your lifestyle
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