VP, Data Solutions
Job details
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Our Clientis a leading global general insurance company committed to providing innovative and comprehensive insurance solutions. With a strong focus on leveraging data to drive business decisions, we are seeking a dynamic and experienced professional to join our team as the VP, Data Solutions. Job Summary: As the VP, Data Solutions, you will play a pivotal role in shaping and executing our data strategy. You will be responsible for leading a team of talented data professionals, driving the development and implementation of data solutions that enhance our business intelligence, analytics, and overall data capabilities. The ideal candidate will have a proven track record in data management, business intelligence, and a deep understanding of the insurance industry. Key Responsibilities:
- Data Strategy and Governance:
- Develop and execute a comprehensive data strategy aligned with the overall business objectives.
- Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance.
- Data Architecture and Solutions:
- Oversee the design and implementation of scalable and robust data architectures to support business intelligence and analytics initiatives.
- Evaluate and recommend new technologies and tools to enhance data capabilities.
- Stakeholder Collaboration:
- Collaborate with key stakeholders, including IT, underwriting, claims, and finance, to understand business requirements and ensure data solutions meet the needs of various departments.
- Data Analytics and Reporting:
- Drive the development of advanced analytics and reporting capabilities to derive actionable insights from data.
- Ensure timely delivery of accurate and relevant reports to support business decision-making.
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics).
- Proven experience (10+ years) in a senior data management role, preferably within the insurance or financial services industry.
- Strong leadership and people management skills.
- In-depth knowledge of data architecture, data governance, and business intelligence.
- Excellent communication and stakeholder management skills.
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