Data Governance Lead

4 weeks ago


London, United Kingdom ASCOT GROUP Full time

**Job Purpose**:
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 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.

Desirable
- 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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