Job Summary:
The Data Governance Lead/Analyst will lead and contribute to data governance initiatives, ensuring data integrity, quality, and compliance within the actuarial and finance domains of our Life Insurance business. Responsibilities include developing and implementing data governance frameworks, policies, and procedures, conducting data quality assessments, and collaborating with stakeholders to ensure data is managed effectively.
Key Job Responsibilities:
- Data Governance Framework:
- Develop and implement a comprehensive data governance framework aligned with industry best practices and regulatory requirements (e.g., STAT, GAAP, LDTI, MCF).
- Define data standards, policies, and procedures for data quality, security, and access.
- Establish and maintain a data governance roadmap to guide data management initiatives.
- Data Quality Management:
- Conduct data quality assessments to identify and remediate data issues.
- Implement data quality controls and monitoring processes.
- Develop and maintain data quality metrics and reporting.
- Data Governance Analysis:
- Analyze data governance requirements and translate them into actionable plans.
- Conduct data lineage analysis to understand data flows and dependencies.
- Identify and assess data risks and vulnerabilities.
- Stakeholder Collaboration:
- Collaborate with actuarial, finance, and IT teams to ensure data governance alignment.
- Communicate data governance policies and procedures to stakeholders.
- Facilitate data governance training and awareness programs.
- Continuous Improvement:
- Monitor and evaluate the effectiveness of data governance practices.
- Identify and implement opportunities for continuous improvement.
- Stay abreast of industry trends and best practices in data governance.
Key Job Qualifications:
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Accounting, or a related field.
- Strong understanding of business processes in the Actuarial and Finance domain within the Life Insurance Industry.
- In-depth knowledge of relevant regulations and standards (e.g., STAT, GAAP, LDTI, MCF).
- Proficiency in SQL and database query languages for data analysis and manipulation.
- Experience in data quality management, data governance practices, and data risk assessment.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a team.
- Preferred Qualifications:
- Prior experience in the Life Insurance industry, particularly in actuarial or finance roles.
- Knowledge of data governance tools and technologies.
- Relevant certifications (e.g., Certified Data Management Professional - CDMP).
