FBS Director Principal Data & Analytics

FBS – Farmer Business Services is part of Farmers Insurance operations, partnering with Capgemini as the Employer of Record. The Director of Finance Data & Analytics, Data Architecture & Technology Enablement, will lead the development and evolution of the Finance D&A data foundation.

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.
• 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).
• Extensive experience in data management (ETLs, Data Pipelines).
• Experience with modern cloud data and analytics technologies such as Snowflake, Azure, Power BI, SQL, Python, R, Git, and pipeline orchestration tools.
• Strong understanding of data governance, quality, metadata, lineage, privacy, security, access management, and financial controls.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Career development and training opportunities.
• Flexible work arrangements (remote and/or office-based).
• Dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Pension Plan.
• Paid Time Off.
• Training & Development.