VP, Data And Analytics

Summary

Join Earnest as the VP of Data & Analytics and lead the charge in driving our analytics strategy, delivering high-impact insights that shape key decisions. You will report to the Chief Operating Officer and be responsible for developing and executing a comprehensive data strategy, building high-performing data teams, and fostering a data-driven culture. You will collaborate with business leaders, oversee data infrastructure, and own pricing strategies. This role requires a Master's degree in a related technical field, 10+ years of leadership experience in data and analytics, and deep expertise in working with large datasets and advanced analytical tools. Earnest offers competitive compensation, benefits including health, dental, vision, and retirement plans, and a supportive work environment.

Requirements

• Master’s Degree in Computer Science, Statistics, Mathematics, Information Systems, or a related technical field
• 10+ years of leadership experience in data and analytics, including a track record of building and scaling high-performing data teams and cloud-based data platforms, while modeling leadership principles
• Deep expertise in working with large, complex datasets, predictive analytics, machine learning, and advanced analytical tools to extract actionable insights
• Exceptional ability to translate technical concepts into actionable business insights and coordinate cross-functionally with key stakeholders and effectively communicate complex data insights to technical and non-technical audiences, including C-suite

Responsibilities

• Develop and execute a comprehensive data strategy while building and leading high-performing, cross-functional data teams to foster a data-driven culture and enable data-informed decision-making
• Facilitate collaboration with business leaders to identify innovation opportunities, improve operational efficiency, and effectively communicate complex insights to technical and non-technical audiences
• Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and governance frameworks to support analytics, ensure data quality, and empower self-service analytics
• Own pricing strategies, including dynamic pricing models, price elasticity analyses, and experimentation initiatives to drive business outcomes

Preferred Qualifications

• Experience in financial services or fintech preferred, with a solid understanding of structured and unstructured data analytics
• Experience in the Fintech lending space

Benefits

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave