Manager of Data Analytics & Engineering

Manager of Data Analytics & Engineering

Join our team and be part of something truly transformational! Under the name of CareGard Warranty Services, Automotive Financial Group (AFG) was founded in 1994. Within the past 30 years, AFG has become a leader in vehicle service contracts and protection products. Through partnerships with car dealerships, finance companies, and automotive manufacturers (OEM), CareGard has redefined the standards of service in the automotive industry. Driven by a profound mission to enhance the automotive landscape, CareGard has tirelessly worked towards nurturing talent and fostering a culture rooted in values of trust and reliability. Today, it stands as a titan among extended warranty providers, celebrated for its exceptional Google ratings and unwavering commitment to excellence. Excellence is in our DNA. At CareGard, we are always looking for the best talent on the planet. Our people have an ownership mentality in everything we do. We exude initiative, accountability, and an unyielding pursuit of excellence. Our culture is built on integrity, innovation, and passion. Together, these values create an atmosphere that allows us to surpass customer expectations and cultivate deep-seated relationships built on trust. As we chart our course through new and existing growth opportunities, we invite those who dare to dream, who are dedicated to becoming the finest versions of themselves, and who approach challenges with a visionary problem-solving mindset to grow with us. Once in a Lifetime Opportunity. AFG is growing rapidly, and we are looking for a Manager of Data Analytics & Engineering who can lead our data development strategy and drive the delivery of high-quality, scalable reporting systems and data pipelines. This is a role for a leader who sees beyond daily execution, understands how business intelligence intersects with business objectives, and builds data systems and teams that truly make an impact.

Summary: Manager of Data Analytics & Engineering role leads a team that is responsible for creating high-quality, high-impact reports to enable internal and external stakeholders to make data-driven decisions across all AFG products. This role works closely with disciplines across the organization to identify requirements, build and automate reports, and manage reporting infrastructure. This role pairs deep expertise in SQL, Python, and other data tools with the ability to manage and mentor others and communicate clearly across the organization.

Supervisory Responsibilities:

• Lead the Data Analyst discipline at AFG
• Mentor and develop a team of data analysts including goal setting, performance reviews, and career development
• Review team deliverables (queries, models, reports, dashboards) for quality
• Develop and enforce analytics standards, documentation practices, and code review processes
• Report the health of the team operations to executives
• Support hiring, onboarding, and training of new team members

Responsibilities:

• Execute data validation, profiling, auditing, and data cleansing activities for report deliverables
• Develop and maintain data pipelines for data extraction, transformation, and analysis
• Partner with stakeholders to define metrics, KPIs, and reporting requirements
• Collaborate with data engineering on data infrastructure, governance, and tooling improvements
• Stay current on analytics tools, methods, and industry trends
• Standardize, automate, and maintain data collection and processing for report deliverables
• Develop and maintain deep functional knowledge of the business and the business data model
• Document and maintain standard operating procedures

Skills & Qualifications:

• Expert level knowledge of SQL, Python, ETL tooling (dbt, Airflow)
• Proficient with git
• Familiarity with change management processes
• Strong written communication skills for documenting and working across the organization
• Ability to prioritize, delegate, and manage multiple requests
• Demonstrated experience leading or mentoring analysts
• Demonstrated success working cross-functionally across an organization
• Experience with data warehousing and cloud data platforms like Redshift