Director, Data & Analytics

Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system.

Backed by Scale, Google's Gradient Ventures, and Cathay Innovations, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. We recently raised $60M in our Series C funding and want builders to help scale the company. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies.

If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together.

About the role

Range is seeking an experienced and strategic Director of Data & Analytics to lead and scale our data organization. In this pivotal leadership role, you will own the design, execution, and evolution of our data strategy — from foundational data engineering, data management, and governance to advanced analytics and actionable business insights. You’ll help turn data into a competitive advantage that empowers teams across the company to make smarter, faster decisions.

This role is ideal for a visionary leader who can rapidly build high-performing teams, strengthen data infrastructure, and champion a culture of data excellence across the business.

We're excited to hire this role at Range's Headquarters in McLean, VA. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in the area, but love what you see, let’s discuss relocation as part of your journey to joining us.

What you’ll do with us

• Define and implement Range’s enterprise-wide data strategy that supports growth, operational excellence, and data-driven decision-making.

• Partner with executive leadership and cross-functional teams (Engineering, Product, Finance, Marketing, Sales, Operations) to align data initiatives with business priorities.

• Rapidly recruit, mentor, and lead a talented team spanning data engineering, analytics, data science, BI/reporting, and data governance disciplines.

• Establish standards for performance, collaboration, and professional development to build a strong, scalable data organization.

• Oversee the design and evolution of the company’s data architecture, including data warehouses, data lakes, pipelines, and integration frameworks that ensure reliability, scalability, and performance.

• Champion modern data engineering best practices (ETL/ELT, metadata management, data modeling, APIs, and tooling).

• Build and enforce a robust data governance framework that ensures data accuracy, security, privacy, and lifecycle management.

• Define policies for data stewardship, metadata standards, access controls, and compliance with relevant regulations (e.g., privacy frameworks).

• Drive the development of insightful analytics products, dashboards, and reporting tools that empower operational and strategic decision-making.

• Lead efforts in advanced analytics, predictive modeling, and experimentation to surface opportunities and drive business outcomes.

• Promote a company-wide culture of data literacy, self-service analytics, and evidence-based decisions.

• Establish metrics, KPIs, and data quality benchmarks that are meaningful and actionable across the organization.

What will set you apart

• 10+ years of experience in data, analytics, or engineering leadership roles with a track record of building and scaling data functions in high-growth environments.

• BS or BA in Computer Science, Engineering, Statistics, Economics, Mathematics, or another quantitative discipline from a top-tier university

• Experience with…