Data Governance Lead

6 days ago

London, Greater London, United Kingdom Ascot Group Full time
Job Description

Job Title: Data Governance Lead

Company: Ascot Group

Job Type: Full-time

Location: City of London

Job Category: Data Management

About Us: Ascot Group is a leading provider of data management solutions, dedicated to delivering high-quality data governance practices to our clients.

Job Summary: We are seeking an experienced Data Governance Lead to join our team, responsible for developing and implementing a comprehensive data governance framework, ensuring data quality, compliance, and effective management.

Key Responsibilities:

  • Develop and Implement Data Governance Framework: Design and implement a robust data governance framework, aligning with the company's data strategy and regulatory requirements.
  • Establish Data Quality Metrics: Collaborate with data owners and stewards to establish and enforce data quality metrics, monitoring, and improvement processes.
  • Appoint Data Stewards: Identify and appoint data stewards, providing guidance and support to ensure effective data governance practices.
  • Develop Data Catalog and Taxonomy: Create and maintain a data catalog, taxonomy, and data lineage documentation to ensure data accuracy and integrity.
  • Collaborate with Stakeholders: Work with stakeholders to ensure data governance practices align with the company's data strategy and infrastructure.
  • Advocate for Data Governance Best Practices: Promote data governance best practices and drive initiatives to enhance data-driven decision-making.
  • Report Progress: Report on the progress of data governance initiatives to senior leadership.
  • Develop Training Programs: Develop and deliver training and awareness programs to promote data governance principles across the organization.

Requirements:

  • Minimum 5 Years in Data Governance: Proven experience 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: 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 and 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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