Data Management Team Lead
2 weeks ago
Estimated Salary: $140,000 - $170,000 per annum.
Job Description:Square Overview:
Chubb is a leading insurance provider offering innovative solutions to its customers. As a Data Management Team Lead at Chubb, you will play a crucial role in defining and implementing data management strategies across the organization.
About the Role:
- Lead a team of data management professionals in designing and maintaining robust data environments.
- Develop and implement data management policies, procedures, and best practices to ensure efficient data utilization.
- Collaborate with stakeholders to understand and gather data requirements, ensuring alignment with organizational objectives.
- Design and maintain data sets, including creation, extraction, generation, and maintenance.
- Collaborate with data owners and stewards to ensure data quality, compliance with regulations, and adherence to security protocols.
- Implement and maintain data management tools and technologies to automate provisioning, masking, subsetting, and obfuscation processes.
- Monitor and analyze data usage patterns and performance metrics to identify areas for improvement and optimize data management processes.
- Troubleshoot and resolve data-related issues, perform root cause analysis, and implement preventive measures.
- Stay up-to-date with industry trends and best practices in data management, recommending improvements or innovative approaches.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Extensive experience in data management roles, preferably in a leadership capacity.
- Strong understanding of data management principles, methodologies, and best practices.
- Knowledge of testing processes and methodologies, including functional, system, regression, and performance testing.
- Familiarity with data management tools and technologies, such as Informatica TDM, CA Test Data Manager, or similar.
- Proficiency in SQL scripting and data manipulation.
- Solid knowledge of data privacy and security regulations, such as GDPR.
- Familiarity with data modeling concepts and database technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and leadership abilities, with the ability to collaborate with diverse teams and stakeholders.
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