Data Management Governance and Quality Lead

2 weeks ago

London, United Kingdom Ascot Group Full time

With delivery of new data capabilities, we have established a Data team, focused on all aspects of data and analytics.
The team comprises experts collaborating with stakeholders across Ascot to deliver significant business value.
Ascot is seeking a Data Governance Lead to join our Data team, focusing on enhancing data governance and management practices. The role is central to ensuring data quality, compliance, and effective management, particularly in a regulated environment.
The candidate will be responsible for developing and maintaining a robust data governance framework, working closely with data owners and stewards, and integrating governance practices into the company's overall data strategy.
The role is based in Ascot’s office in the City of London and will be a hybrid home/office working model.
Detailed Duties:
Develop and implement a comprehensive data governance framework.
Create, implement, and maintain data governance policies and procedures.
Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes.
Identify and appoint data stewards, providing guidance and support.
Develop and maintain a data catalog, taxonomy, and data lineage documentation.
Collaborate with stakeholders to ensure data governance practices align with the company's data strategy and infrastructure.
Advocate for data governance best practices and drive initiatives to enhance data-driven decision-making.
Report on the progress of data governance initiatives to senior leadership.
Develop and deliver training and awareness programs to promote data governance principles across the organization.
Experience:
Must have
Minimum of 5 years in data governance, data management, or a related field.
Data Governance Expertise: Proven experience in developing and implementing data governance policies and procedures in a regulated environment.
Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools.
Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units.
Insurance Industry Experience: Deep understanding of the insurance and underwriting domain, especially in relation to the Lloyd's market.
Degree in Information Systems, Computer Science, Business Administration, or a related field.
Agile and Scrum: Experience working in Agile environments and familiarity with Scrum methodologies, especially in a data context.
Regulatory Compliance: Knowledge of regulatory standards specific to the insurance industry and data management, e.g., Solvency II.
Skills/Attributes:
Analytical Thinking: Exceptional ability to analyse complex data environments, assess governance needs, and develop strategic solutions.
Regulatory Acumen: Strong understanding of regulatory requirements and compliance standards in data management, especially in finance or healthcare sectors.
Technical Expertise: Proficient in various data management technologies and tools, with the ability to guide their effective use for governance purposes.
Leadership: Demonstrated ability to lead cross-functional teams, inspire collaboration, and drive governance initiatives.
Communication Skills: Excellent communication abilities, capable of clearly conveying complex data governance concepts to both technical and non-technical stakeholders.
Problem-Solving: Skilled in identifying challenges in data governance and devising practical, innovative solutions.
Detail-Oriented: Meticulous attention to detail, ensuring the accuracy and integrity of data governance processes and documentation.
Strategic Vision: Ability to develop long-term data governance strategies that align with organizational goals and adapt to evolving data landscapes.
Change Management: Proficiency in managing change, advocating for new processes, and facilitating the adoption of data governance practices across the organization.
Continuous Learning: Commitment to staying updated with the latest trends, tools, and best practices in data governance and management.
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