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.