Senior Manager of Financial Data and Analytics
| Company | Geico |
|---|---|
| Location | Springfield, VA, USA, Salt Lake City, UT, USA, Madison, WI, USA, Boston, MA, USA, Las Vegas, NV, USA, Seattle, WA, USA, Indianapolis, IN, USA, Louisville, KY, USA, New Orleans, LA, USA, Des Moines, IA, USA, Nashville, TN, USA, Washington, DC, USA, San Francisco, CA, USA, Austin, TX, USA, Detroit, MI, USA, Augusta, ME, USA, Los Angeles, CA, USA, Tampa, FL, USA, San Jose, CA, USA, Miami, FL, USA, Providence, RI, USA, Birmingham, AL, USA, Jackson, MS, USA, Dallas, TX, USA, Virginia Beach, VA, USA, Raleigh, NC, USA, Philadelphia, PA, USA, Portsmouth, NH, USA, Chicago, IL, USA, Mt Laurel Township, NJ, USA, Boise, ID, USA, Charlotte, NC, USA, St. Louis, MO, USA, Milwaukee, WI, USA, Pittsburgh, PA, USA, Burlington, VT, USA, Kansas City, MO, USA, Omaha, NE, USA, Hartford, CT, USA, Oklahoma City, OK, USA, Phoenix, AZ, USA, Minneapolis, MN, USA, Denver, CO, USA, Portland, OR, USA, Columbia, SC, USA, Wilmington, DE, USA, Atlanta, GA, USA, Huntsville, AL, USA, San Diego, CA, USA, Bethesda, MD, USA, Dover, DE, USA, Cincinnati, OH, USA, Charleston, WV, USA, Baltimore, MD, USA |
| Salary | $150000 – $300000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 20+ years of Technology Systems experience
- 15+ years of management or lead experience in guiding Technology teams
- 5+ years experience in financial analytics, financial data analytics or financial planning and analysis technologies
- Strong background in financial modeling, analytics and reporting tools (e.g. PowerBI, Tableau, SQL, Excel)
- 5+ years of experience with ERP systems (Oracle, Workday, SAP, PeopleSoft) and FP&A systems (Oracle EPM, TM1/Cognos) is highly desirable
- Familiarity with data governance frameworks, especially in the context of financial data
- Understanding of Accounting process; Controls; Security; and SOX to partner with senior Finance Leaders
- Ability to translate complex financial data into meaningful insights and actionable recommendations for business leaders
- Knowledge of advanced analytics techniques, such as financial forecasting, predictive analytics or machine learning is a plus
- Experience with developing systems that are scalable, resilient, and highly available
- Ability to communicate and work directly with business leaders across Technology and Finance
- Solid understanding of project management techniques, methodologies, and best practices
- Strong problem-solving abilities
- Ability to excel in a fast-paced environment
- Knowledge and experience with the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
- Ability to prioritize workload and execute tasks independently, providing timely follow-up and resolution
- Ability to work independently and in a team-oriented collaborative environment
Responsibilities
- Lead the design, build and optimization of the finance data warehouse, with a focus on structuring financial data for advanced analysis and insights
- Collaborate with cross-functional teams (Finance, Tech, Business Intelligence, etc.) to build and maintain finance data models, dashboards, and reports that meet business and reporting needs
- Guide the development of self-service analytics tools and dashboards, empowering business units to generate insights independently
- Drive the development of advanced analytical capabilities such as predictive modeling, trend analysis, AI and financial forecasting
- Leverage finance system knowledge to ensure seamless integration of financial data from ERP systems, sub-ledgers and other enterprise sources
- Collaborate with FP&A, Pricing and other Finance teams to champion a culture of data-driven decision making by providing education, support and tools
- Establish and enforce strong data governance standards to ensure high-quality, consistent, accurate and secure financial data
- Develop and deploy advanced financial reporting and analytics tools, enabling senior leadership to make informed decisions
- Manage a team of data engineers providing mentorship, guidance and support for career development
- Facilitate Business and Technology discussions at various leadership levels to build technology roadmaps to ensure alignment towards long term finance objectives
- Share your passion for staying on top of tech/industry trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
- Consistently share best practices and improve processes within and across teams
Preferred Qualifications
- Experience working with or managing a Finance Data Warehouse / Lake is preferred