Director, Business Intelligence
GEICOAbout the role
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Location: Preference is for the candidate to be based at one of our major office locations including Bethesda, MD; Fredericksburg, VA; Lakeland, FL; Dallas, TX; Chicago, IL. Hybrid and remote candidates will be considered.
Reports To: Head of Claims Innovation at GEICO
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
We seek a highly motivated Director, Business Intelligence to direct and oversee GEICO’s Business Intelligence strategies for our Innovation, Claims, Sales, and Service organizations. In this role, you will lead a high-performance team responsible for data delivery, analysis, and visualization, collaborate with cross-functional teams to identify opportunities, develop robust data structures, reports, dashboards and visualizations to support analysis, deliver insights, and drive business decisions.
Key Responsibilities:
Leadership and management:
Cultivate long-term strategic goals for BI Analysts and Data Engineering to review and communicate recommendations to drive critical decisions, prepare and manage department business plans, staffing projections, and budgets.
Lead from the front to establish a data-driven culture and organizational framework that delivers analytic excellence to improve client service and overall business performance.
Lead and mentor a team of data analysts, data engineers, business analysts, and project managers.
Strategy and development:
Develop and execute a multi-year strategy for Business Intelligence and Performance Monitoring for Innovation, Claims, Sales and Service.
Review and approve testing, deployment and maintenance of data structures, views, reports, and visualizations in coordination with data, product and engineering teams.
Prioritize the most impactful analytical opportunities by partnering closely with Innovation, Claims, Sales, and Service Operations leadership.
Translate ambiguous or emerging business questions into structured analytical roadmaps with clear hypotheses, timelines, and success measures.
Ensure analytical outputs directly inform operating rhythms, field execution, and senior level decision making.
Data governance and architecture:
Implement best practices for data governance, data quality, and data integration to ensure the integrity and reliability of our data assets and to meet regulatory compliance requirements.
Advocate for the data structures, governance, and quality standards required to support advanced analytics across Claims, Sales, and Service Operations operational systems.
Partner with Technology to ensure relevant data is clean, accessible, and structured to support scalable insights and modeling.
Data Insights and Analytics:
Solve complex business problems. Analyze key performance indicators (KPIs) and business trends.
Lead the development and maintenance of data models, schemas, and database structures to support various business initiatives, analytics, and strategic problem solving.
Conduct deep dive analyses that unpack root causes, quantify impact, and recommend clear, actionable solutions.
Develop early signal detection mechanisms and monitoring tools that proactively surface risks or opportunities before they appear in topline KPIs.
Stakeholder collaboration:
Partner with senior leadership and other departments to identify business needs and translate them into data analytics solutions.
Collaborate with Tech Teams to en
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