Head of Data, Analytics & AI Strategy

Farmers Insurance; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

401(k)

Medical

Dental

Vision

Paid Time Off

Tuition Assistance

Job summary

Farmers is seeking a Principal Data & Analytics Leader to define and execute enterprise data and analytics strategies that drive performance, customer and agent experience, and growth. You will partner with executives to turn insights into scalable products and capabilities, guiding a high-performing team to modernize data platforms and governance.

You will lead cross-functional efforts across data engineering, analytics, reporting and AI initiatives, ensuring data quality, regulatory

Qualifications

• 12+ years of progressive experience in data analytics, data engineering, BI, data science and information management.
• 5+ years of leadership experience managing teams and enterprise-scale data initiatives.
• Experience in P&C marketplace with focus on sales, service, and claims.

Responsibilities

• Define and execute enterprise data and analytics strategies.
• Lead cross-functional teams delivering data, reporting, analytics and AI-enabled solutions.
• Partner with executives to translate business challenges into scalable data-driven plans.
• Establish data governance, quality, security and regulatory compliance.

Skills

Data analytics

Data engineering

Business intelligence

Data science

Information management

Leadership

Education

Bachelor's degree in data analytics, computer science, information systems, statistics, mathematics, engineering, business, or related field

Job description

Farmers is seeking a Principal Data & Analytics Leader to define and execute enterprise data and analytics strategies that drive performance, customer and agent experience, and growth. You will partner with executives to turn insights into scalable products and capabilities, guiding a high-performing team to modernize data platforms and governance.

You will lead cross-functional efforts across data engineering, analytics, reporting and AI initiatives, ensuring data quality, regulatory