Principal Data & Analytics Leader

Farmers Insurance

1d•$156,300 - $297,125

About The Position

The Principal Data & Analytics Leader is a senior leadership role responsible for defining and executing enterprise data, analytics, and AI strategies that drive business performance, customer and agent experience, operational excellence, profitability, and growth. The leader partners with business stakeholders, the data and analytics organization, and IT leadership to turn insights into actionable recommendations, scalable products, and strategic capabilities that influence organization-wide decision-making. As a strategic partner to stakeholders, this role provides leadership with a clear vision for the design, development, implementation, and governance of enterprise data and analytics solutions. The leader fosters innovation, data-driven decision-making, and continuous improvement, and leads a high-performing team that aligns its capabilities with organizational requirements, KPIs, and goals. The role focuses on data engineering, analytics, reporting, governance, and advanced analytical capabilities to deliver measurable business value.

Requirements

12 or more years of progressive experience developing data-rich solutions in analytics, data engineering, business intelligence, data science, and information management.
5 or more years of leadership experience managing teams and enterprise-scale data and analytics initiatives.
Strong knowledge and hands-on experience in the property and casualty (P&C) marketplace, with a focus on sales, service, and claims.
Demonstrated success developing and executing enterprise insight strategies that drive measurable business results.
Experience leading large-scale transformation, modernization, analytics, or AI initiatives within complex organizations.
Proven ability to influence senior leaders and drive alignment across business and technology functions.
Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business, or a related field.

Nice To Haves

Experience modernizing solutions and technologies applied to the P&C industry or service and claims models.
Relevant industry certifications in AI, cloud, analytics, or data management.

Responsibilities

Identify and drive opportunities to use advanced analytics, predictive modeling, machine learning, and emerging technologies to create competitive advantages and business value.
Develop and communicate strategic roadmaps, priorities, and investment recommendations, and ensure successful execution of large-scale initiatives.
Partner with business leaders to establish meaningful performance metrics, measurement strategies, and actionable insights that improve operational and financial outcomes.
Build, develop, and mentor high-performing teams while fostering collaboration, innovation, and professional growth.
Develop and execute enterprise data and analytics strategies aligned with organizational priorities and long-term business objectives.
Lead cross-functional teams delivering, maintaining, and modernizing data, reporting, analytics, and AI-enabled solutions across multiple business domains.
Serve as a trusted advisor to executive leadership, translating complex business challenges into scalable data-driven strategies and solutions.
Establish and advance enterprise data governance practices to ensure data quality, integrity, security, compliance, and effective stewardship.
Lead the design and implementation of complex data and analytics products, platforms, and capabilities that support strategic decision-making and business transformation.
Champion data literacy and data-driven decision-making through thought leadership, coaching, and organizational influence.
Drive continuous improvement by using data to optimize processes, enhance customer and agent experiences, and improve organizational performance.
Ensure adherence to data management standards, architectural principles, governance policies, and regulatory requirements.
Lead multiple concurrent enterprise initiatives, balancing strategic priorities, resources, risks, and timelines to achieve business outcomes.