Sr. Director, Business and Data Analytics

About the Role

Key Responsibilities

• Lead enterprise-wide data initiatives and oversee the development and execution of data analytics strategies that drive business performance and support executive decision-making.
• Manage enterprise data assets, lead reinsurance data integration efforts, and ensure alignment with corporate data governance standards.
• Work closely with the CFO and a team of analysts and data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
• Design, develop, and deliver business intelligence, financial, and operational analytics to support strategic decision-making.
• Partner with senior leadership to identify key performance indicators (KPIs) and develop dashboards and reports that track business performance.
• Drive the development and refinement of predictive models and advanced analytics to support underwriting, claims, and profitability analysis.
• Oversee the collection, validation, and analysis of reinsurance data to support treaty renewals, reporting, and compliance.
• Collaborate with Reinsurance and Finance teams to ensure accurate and timely data for reinsurance submissions and audits.
• Lead the development of reinsurance-specific dashboards and analytics to monitor treaty performance and risk exposure.
• Serve as a key liaison with the Corporate Data Governance Committee to ensure compliance with data standards, policies, and best practices.
• Maintain and update data governance documentation and control reports.
• Support the development of business cases and financial models for strategic initiatives and system implementations.
• Work with and mentor a team of analysts, fostering professional growth and ensuring high-quality deliverables.
• Promote a culture of continuous learning, innovation, and cross-functional collaboration.
• Oversee workload allocation and ensure optimal utilization of team resources.
• Collaborate with IT and Data Architecture teams on Berkley Data Warehouse strategy, system enhancements, and new application development.
• Drive the adoption of modern analytics tools and platforms (e.g., Tableau, Power BI, Python, R).
• Participate in system conversions and data mart enhancements to streamline reporting and analytics.

Requirements

• Minimum of 10 years of experience in business analytics, financial reporting, or data science.
• Strong leadership and team management skills.
• Deep understanding of data governance, data quality, and compliance frameworks.
• Proficiency in SQL (SSMS), SSRS, Tableau, Power BI, and Excel; experience with Python or R is a plus.
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
• Strong project management and organizational skills, with the ability to manage multiple priorities.
• Bachelor's degree in Finance, Mathematics, Computer Science, Actuarial Science, or a related field.
• Experience in the commercial insurance industry, including exposure to reinsurance data and treaty structures.

Nice to Have

• Experience working with E&S (Excess & Surplus) data and systems.
• Familiarity with regulatory data calls and compliance reporting.
• Demonstrated success in leading cross-functional data initiatives and driving business transformation through analytics.

Qualifications

• Bachelor's degree in a relevant field such as Finance, Mathematics, Computer Science, or Actuarial Science.
• Experience in the commercial insurance industry, including exposure to reinsurance data and treaty structures.

Benefits & Perks

• Competitive compensation plan with a base salary range of $180,000 - $220,000.
• Eligible to participate in an annual discretionary bonus.
• Benefits include Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k), and Profit-Sharing plans.