Applicants must be eligible to work in the specified location
Skills & Experience
Insurance expertise: You should have a strong understanding of the insurance industry.
Data Management Expertise: Strong data management skills including: data governance, data quality assurance, data integration, and data architecture.
Analytics and Data Science: Experience in in data analytics and data science is essential.
Risk Management: you should be well-versed in assessing and mitigating data-related risks, especially those associated with underwriting and reinsurance.
Regulatory Compliance: data related regulations experience is essential.
Data Strategy experience: including, defining data KPIs, and creating a roadmap for data initiatives.
Change Management: you should be skilled in change management to ensure the successful adoption of data initiatives.
Vendor Management: Managing relationships with data-related vendors.
Cybersecurity Awareness: yoi should be well-informed about cybersecurity practices and take measures to protect data from breaches.
In summary, you will be a Data Management professionalin with deep insurance understanding, especially in underwriting and re-insurance with a combination of technical, business, and leadership skills.
You are a data professional not a database professional.
Primary Duties
- Provide vision and strategy for all data management initiatives.
- Champion for global data management, governance, quality, and vendor relationships across the enterprise.
- Responsible for data management activities, the business data stewards, and data service providers.
- Work with executives, data owners, and data stewards to achieve data accuracy and process requirement goals for all internal and external customers.
- Establish data policies, standards, organization, and enforcement of the concepts as established by the organization.
- Responsible for reporting on progress of enterprise data management governance, including metrics.
- Leads the creation of program business definitions and data management goals and principles.
- Oversee the monitoring of data quality efforts within the organization and provides a central authority for the resolution on data management issues.
- Establish data vendor management strategy and provides oversight to support implementation and coordinates with the IT organization through the CIO.
- Oversee the education of the organization on data management concepts, the appropriate usage of data, enterprise master data management and data quality concepts, enterprise decision-support concepts, data vendor capabilities, definition and appropriateness of data management, rules on data access, and other data-related issues.
- Bear executive responsibility for enterprise information/data management budget and data-related systems initiatives.
- Oversees evaluation of all data movement projects and ensures the enforcement of the data strategy.
City of London, UK
June/July/August 2024
to £90k
Paul Marioni
JS/PPM/090577/DATASME
21/05/2024 12:34:40
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