Data Governance Strategist

5 days ago

Manila, National Capital Region, Philippines Monroe Consulting Group Full time

Job Summary:

Maintaining high-quality data is essential for informed business decisions in the actuarial and finance domains. The successful candidate will lead and contribute to data governance initiatives, ensuring that data integrity, quality, and compliance meet industry standards and regulatory requirements.

Key Responsibilities:

  • Data Governance Framework:
    • Develop a comprehensive data governance framework aligned with best practices and regulations (e.g., STAT, GAAP, LDTI, MCF).
    • Define data standards, policies, and procedures for data security, access, and quality.
    • Establish a data governance roadmap to guide data management initiatives.
  • Data Quality Management:
    • Conduct regular data quality assessments to identify and remediate 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 opportunities for continuous improvement.
    • Stay abreast of industry trends and best practices in data governance.

Requirements:

  • 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.

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