BI And Data Engineering Director

Farmers Insurance is a company known for its commitment to making a real difference in people's lives. The BI and Data Engineering Director will lead the integration of business strategy, analytics solutions, and data engineering capabilities to drive decision-making and business outcomes, overseeing both Business Solutions and Analytics Engineering functions.

Responsibilities:

• Lead the development and execution of enterprise data and analytics strategies that align to business objectives and drive profitability, growth, and customer outcomes
• Partner with business leaders and cross-functional stakeholders to identify opportunities where analytics and data solutions can create business value
• Translate complex business problems into scalable analytics solutions and data product roadmaps
• Influence and guide strategic decisions by integrating insights from analytics models, data products, and business context
• Oversee the design and implementation of highly complex, value-based analytics solutions that support strategic initiatives and business processes
• Ensure solutions are aligned to stakeholder needs through strong requirements gathering, documentation, and cross-functional collaboration
• Evaluate emerging data sources, AI techniques, and tools, adopting new capabilities where they meaningfully improve insight, automation, or decision support
• Act as a liaison between business, analytics, and technology teams to ensure successful solution delivery
• Lead the development of scalable data pipelines, data models, and analytics-ready datasets that enable enterprise analytics and reporting
• Oversee end-to-end data workflows including data ingestion, transformation, modeling, validation, and quality assurance
• Ensure optimization of data platforms for performance, scalability, and cost efficiency across cloud-based environments
• Establish best practices for data architecture, modeling standards, and data governance
• Define and enforce data governance policies to ensure data accuracy, reliability, security, and regulatory compliance
• Implement data quality monitoring, validation processes, and controls to support trusted analytics outcomes
• Lead and develop a team of Business Solutions professionals and Analytics Engineers, including people leaders and individual contributors
• Foster a high-performance culture focused on innovation, collaboration, and continuous learning
• Coach and mentor team members to build both technical depth and business acumen
• Provide performance management, career development, and succession planning for the organization
• Serve as a senior liaison between business stakeholders, analytics teams, and technology partners
• Communicate complex technical concepts and analytics insights clearly to non-technical audiences and senior leadership
• Influence cross-functional teams and leadership to adopt data-driven practices and decisions

Requirements:

• Bachelor's degree required; advanced degree in a related field preferred (e.g., Data Science, Engineering, Analytics, or Business)
• 10+ years of experience in data analytics, business analytics, or data engineering roles
• Proven experience in people leadership, including managing managers and/or cross-functional teams
• Deep understanding of data engineering, analytics, and business processes, including end-to-end data workflows
• Expertise in SQL, dimensional modeling, data pipelines, and modern data platforms (e.g., Snowflake, AWS, Azure, GCP)
• Strong understanding of descriptive, predictive, and prescriptive analytics and their business applications
• Demonstrated ability to craft and execute enterprise-level data and analytics strategies
• Knowledge of MDM, CRM, reporting environments, dashboarding tools, and data governance practices
• Strong stakeholder management and communication skills, with the ability to influence senior leadership
• Proven ability to lead complex, cross-functional initiatives and deliver measurable business impact
• Knowledge of emerging data sources, AI techniques, and tools
• Ability to thrive in ambiguity with an entrepreneurial mindset and a track record of results
• Strong problem-solving, analytical thinking, and decision-making capabilities
• Experience in insurance or financial services preferred