Director of Data Analytics and Visualization (Daytona Beach, FL)

Brown & Brown - Daytona Beach, FL

Full-time - Senior

Daytona Beach, FL

Insurance Carriers and Related Activities

About the position

The Director of Data Analytics and Visualization at Brown & Brown will play a pivotal role in leading the engineering, delivery, and support of the corporate data and analytics platform. This position is crucial for ensuring that the organization can leverage data effectively to drive insights and support decision-making processes. Reporting directly to the Senior Director of Corporate Applications, the Director will oversee a team of Data Engineers and Visualization specialists, guiding them in the development, automation, and management of cloud-based data capabilities and technologies. This role is not only about technical expertise but also about fostering collaboration and building strong relationships with business and corporate function leaders to ensure that data solutions align with organizational goals. In this capacity, the Director will be responsible for the end-to-end management of data pipelines and data products, ensuring that they are designed and delivered to meet the needs of the business. This includes providing leadership and oversight of third-party resources and services, identifying opportunities for enhancements, and promoting the reuse of data assets across the division. The Director will also collaborate closely with the Enterprise Data Architecture and Enterprise Data Enablement teams to develop data solutions and roadmaps that adhere to relevant policies and standards. A key aspect of this role will be to forecast and budget for data capability and technology expenses, ensuring that the organization is prepared for growth. The Director will also be tasked with driving processes around business intelligence development, implementing governance and security controls in partnership with the Information Security and Enterprise Risk teams, and managing the team’s performance, including hiring and development. This position requires a high degree of creativity and problem-solving skills, as well as the ability to adapt to a rapidly evolving business environment.

Responsibilities

• Partner with business and corporate function leaders and cultivate trusted and collaborative relationships.
• Lead the engineering, delivery and support of data pipelines and data products.
• Provide leadership and oversight of third-party resources and services in the design and delivery of data solutions as needed.
• Identify opportunities and implement enhancements to data pipelines and data products.
• Lead and mentor Data Analytics and Visualization team members.
• Collaborate with the Enterprise Data Architecture and Enterprise Data Enablement teams on data solutions and roadmaps.
• Ensure data solutions adhere to relevant policies, standards, procedures, and patterns.
• Promote re-use of data assets and insights across the Division.
• Forecast and budget data capability and technology expense and growth.
• Work well with co-located and distributed team members and partners.
• Demonstrate a high degree of creativity and problem-solving skills.
• Set and implement a strategy for data warehouses and data marts, business intelligence and analytics with a focus on enhancing end-user experience through self-service solutions, speed of delivery, and high-quality results.
• Prioritize work requests to meet business needs by assigning teammates and overseeing delivery.
• Drive processes around business intelligence development.
• Reduce risk to our organization by implementing governance and security controls in partnership with the Information Security and Enterprise Risk teams.
• Manage the team, including hiring and development, reviews, etc.

Requirements

• Bachelor's degree in computer science or related field or equivalent work experience.
• Experience leading a team of data and visualization engineers.
• Hands-on experience implementing data capabilities and technologies supporting data pipelines, data integration, data transformation, analytics, reporting and modeling (e.g. AI/ML).
• Strong understanding of engineering, implementing, and supporting data platforms and solutions in a cloud environment.
• Deep understanding of data management and data governance principles and constructs.
• Passion for learning new technologies and enhancing existing skills.
• Experience in end-to-end Software Development Life Cycle (SDLC) projects.
• Experience working with key stakeholders and business leaders.
• Excellent verbal and written communication skills.
• Ability to build strong relationships and work collaboratively on teams.
• Self-starter that works well and can be a leader in a matrixed team environment.
• Ability to adapt and respond in a rapidly evolving business environment.
• 8+ years of related work experience.
• Experience with PowerBI and other visualization tools.

Nice-to-haves

• Experience engineering, implementing, and supporting data solutions in an Azure cloud environment.
• Experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake and/or equivalent cloud data technologies and platforms.
• Experience with data platforms supporting Data as a Product, Data as a Service, Data Mesh, Data Virtualization, Delta Lake, Lakehouse and/or Data Fabric.
• Familiarity with SQL, Java, and Python.
• Experience working with Agile/Scrum methodologies.
• Experience creating and running 24X7 platform support models leveraging internal teammates and/or third-party services.
• 12+ years of related work experience and 5+ years of progressive leadership experience.
• Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent certification(s).
• Experience in the insurance industry and/or basic knowledge of insurance.
• Experience engineering, implementing, and supporting solutions covering multiple geographies.

Benefits

• Excellent growth and advancement opportunities
• Competitive pay based on experience
• Discretionary Time Off (DTO)
• Generous benefits package; health, dental, vision, 401(k), etc.
• Employee Stock Purchase Plan
• Tuition Reimbursement and Student Loan Repayment Assistance
• Mental Health Resources