FBS Director Principal Data & Analytics

FBS - Farmer Business Services is part of Farmers Insurance operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today's competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don't ave a lochal legal entity, we've partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

The Director of Finance Data & Analytics, Data Architecture & Technology Enablement, will lead the development and evolution of the Finance D&A data foundation. This role is responsible for defining the target-state data architecture, establishing scalable and governed data products, and enabling reliable access to trusted financial and operational data.

The Director will partner across Finance, Actuarial, Product, Claims, Distribution, Technology, and Enterprise Data to translate business priorities into sustainable data capabilities supporting conversion, financial reporting, forecasting, profitability analysis, planning, and advanced analytics. This leader will combine strong insurance industry knowledge, technical expertise, and strategic leadership to establish the data and technology foundation required to scale Finance D&A.

Key Responsibilities

• Define and execute the target-state data architecture and technology roadmap for Finance D&A
• Lead the design and delivery of scalable data pipelines, curated data products, dimensional models, and semantic layers
• Establish consistent definitions, business rules, hierarchies, and data models for critical Finance and insurance metrics
• Establish Finance data governance standards covering data ownership, quality, lineage, metadata, access, controls, and appropriate use
• Implement development and engineering standards for documentation, testing, deployment, reconciliation, monitoring, and production support
• Improve integration of quotes, policy, premium, claims and financial data to enable trusted Finance analytics
• Reduce reliance on manual data preparation, fragmented reporting solutions, and duplicated business logic
• Partner with Enterprise Data and Technology teams to improve Finance access to enterprise data sources, platforms, and capabilities
• Ensure solutions comply with enterprise architecture, security, privacy, governance, and financial control requirements
• Lead complex, cross-functional data initiatives from architecture and planning through implementation and adoption
• Build and lead a high-performing team across data architecture, engineering, modeling, governance, and technology enablement
• Communicate architecture strategy, priorities, delivery progress, risks, and trade-offs to senior and executive leadership

Requirements

• 15+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, data governance, or related disciplines.
• Full English Fluency
• Significant professional experience within the insurance industry required.
• Strong knowledge of insurance data and business processes, including policy, premium, claims, losses, pricing, actuarial, distribution, and financial data. Data transformation projects, multiple experiences
• 10+ years of leadership experience managing data, architecture, engineering, analytics technology, or related teams

Technical & Business Skills

• Strong knowledge of modern data architecture, data engineering, integration, transformation, modeling, and analytical consumption patterns.
• Strong understanding of insurance financial and operational data, including relationships across policies, premiums, exposures, claims, losses, expenses, profitability, and financial reporting.
• Datalake experience (creating new data lake projects) MUST
• Extensive experience in data management (ETLs, Data Pipelines) MUST
• Experience with modern cloud data and analytics technologies such as Snowflake, (PLUS)
• Azure, Power BI, SQL, Python, R, Git, and pipeline orchestration tools. Programming experience (MUST)
• Strong understanding of data governance, quality, metadata, lineage, privacy, security, access management, and financial controls
• Transform Data, get it into good shape

Benefits

This position comes with competitive compensation and benefits package:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training o