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Data Governance Specialist

Hydrogen Group
City of London
3 days ago
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Base pay range

Our client is in a transformation journey to accelerate data driven decision making and AI capability. The role holder will be responsible for maximizing the value and impact of data in a highly governed way and for implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. The role holder will support the Head of Data management in all Data governance related activities.

Responsibilities
  • Develop and implement data governance policies, standards, and processes aligned with organizational goals and regulatory requirements.
  • Maintain and enhance the enterprise-wide data governance framework, ensuring consistency across commercial lines.
  • Collaborate with stakeholders to define and document data ownership, stewardship, and accountability.
Data Quality and Standards
  • Oversee the design and execution of data quality initiatives, including data profiling, validation, and monitoring.
  • Define data standards and ensure adherence across systems, processes, and reporting.
  • Monitor data quality metrics and lead remediation efforts to address data issues.
Compliance and Risk Management
  • Ensure compliance with data-related regulatory requirements (e.g., GDPR, FCA guidelines).
  • Identify and mitigate data-related risks, supporting the CDO in regulatory audits and assessments.
  • Promote data ethics and ensure responsible data usage across the organization.
Collaboration and Stakeholder Engagement
  • Work closely with IT, underwriting, claims, actuarial, and analytics teams to embed governance practices into key processes.
  • Provide training and guidance to data stewards and business users to promote data literacy.
  • Act as a point of contact for resolving cross-functional data governance issues.
Tools and Technology
  • Support the selection, implementation, and optimization of data governance tools, such as data catalogues and lineage tools.
  • Leverage technology to improve data visibility and control, enhancing decision-making processes.
Reporting and Insights
  • Prepare reports and dashboards on data governance KPIs for senior leadership.
  • Provide actionable insights to improve data governance maturity and contribute to business objectives.
CUSTOMER CONDUCT FRAMEWORK
  • Understand how FCA Conduct Rules apply to you as an employee of RSA and specifically, how they apply to this role and understand RSA's Conduct Framework, how it applies to this role, and the behaviors / actions that you need to demonstrate in consistently delivering good customer outcomes.
Functional / Technical Skills
  • Strong understanding of data governance principles, frameworks, and best practices (e.g., DAMA DMBOK).
  • Proficiency in data governance tools and platforms (e.g., Collibra, Informatica, Alation).
  • Knowledge of data quality management techniques and tools.
  • Familiarity with regulatory requirements for the insurance industry (e.g., GDPR, Solvency II).
Business Acumen
  • Understanding of commercial insurance operations, including underwriting, claims, and actuarial functions.
  • Ability to align data governance initiatives with business goals and strategic priorities.
Soft Skills
  • Strong communication and stakeholder management skills.
  • Analytical and problem-solving mindset with attention to detail.
  • Change management and training capabilities to drive data culture.
Qualifications and Experience
  • Bachelor\'s degree in Data Management, Business Administration, Computer Science, or a related field.
  • Professional certifications such as CDMP (Certified Data Management Professional) or DAMA certifications are preferred.
  • 5+ years of experience in data governance, data quality, or related roles, ideally within the insurance or financial services sector.
  • Experience with large-scale data projects in a commercial insurance environment is a plus.
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Data Security Software Products

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