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Senior Director, Business Intelligence

Job in Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for: GEICO
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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: This is a hybrid role at our Chevy Chase, MD or New York, NY office.

Reports To: Head of Agency at GEICO

We are looking to hire a highly motivated Senior Director, Business Intelligence to direct and oversee GEICO’s Business Intelligence strategies for our Agency strategic goals. In this role, you will lead a high-performance team, 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
  • Cultivate long-term strategic goals and specific opportunities for BI Developers, review and communicate recommendations to drive critical decisions, prepare and manage department business plans, staffing projections, and budgets.
  • Work closely with executives to foster a data-driven culture, and leverage data to improve client service and overall business performance.
  • Lead and mentor a team of analysts, data scientists, and other BI professionals.
  • Build and develop a high‑caliber analytics team capable of advanced modeling, deep‑dive investigations, and strategic analysis — not traditional dashboard/reporting work.
  • Serve as a senior thought partner to Agency leadership, helping shape priorities through data‑driven insights.
Strategy And Development
  • Develop and execute a multi-year strategy for Business Intelligence Developer operations to support organizational goals.
  • Review and approve testing, deployment and maintenance on data structures, views, reports, and visualizations in coordination with data, product and engineering teams.
  • Define and own the analytical strategy that supports Agency growth, retention, quality, and agent performance.
  • Prioritize the most impactful analytical opportunities by partnering closely with Product, Marketing, Claims, and Technology.
  • 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
  • Design and develop database architecture solutions to meet the needs of Agency team with a focus on performance and scalability.
  • 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.
  • Optimize data performance through tuning, indexing, and query optimization techniques.
  • Advocate for the data structures, governance, and quality standards required to support advanced analytics across CRM, policy/quote, and operational systems.
  • Partner with Technology to ensure Agency‑relevant data is clean, accessible, and structured to support scalable insights and modeling.
  • Influence long‑term data maturity by identifying gaps and shaping the roadmap — without personally owning or operating data engineering functions.
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.
  • Build analytical frameworks and models that identify leading indicators across fraud/quality, agency life cycle management, incentives, comparative rater performance, sales deployments, retention, etc.
  • Conduct deep‑dive analyses that unpack root causes, quantify impact, and recommend clear, actionable solutions.
  • Develop early‑signal detection…
Position Requirements
10+ Years work experience
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