Leader, Product Analytics & Data Science

About Benchling

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science.

Job Summary

We’re looking for a player-coach to lead our small, but impactful Product Analytics & Data Science team. This role blends hands-on analytical work with people leadership, stakeholder management, and strategic prioritization. The ideal candidate will enjoy balancing deep dives into data with guiding and mentoring a small team of data professionals. You’ll oversee a small team of experienced data engineers and help hire a new data analyst, while personally contributing to high-leverage data projects. You’ll partner closely with Product, Customer Experience, Field, and Business Systems teams to connect product usage with customer value — helping Benchling serve both our internal stakeholders and external users more effectively. This role is suited to someone who enjoys operational stability, is energized by cross-functional collaboration, and can help advocate for data-driven work even when headcount and resources are limited but where sustained, meaningful impact is both possible and expected.

Key Responsibilities

• Lead and support a small, dedicated team of data engineers and analysts through mentorship, technical guidance, and priority setting.
• Roll up your sleeves to personally own and execute on key projects, especially those that cross organizational boundaries (e.g. customer success, field operations, and product).
• Define and maintain a roadmap of high-impact data work that supports both product insights and internal business operations.
• Serve as the connective tissue between product data and customer-facing teams by helping integrate insights across systems and functions.
• Collaborate closely with stakeholders to scope, prioritize, and execute analytical work in service of concrete business and product decisions.
• Champion data quality, documentation, and rigor across everything your team touches.

Requirements

• 5+ years of relevant experience in data analytics or data science, including fluency with tools like SQL, Python or R, and cloud data environments.
• 3+ years of experience managing individual contributors.
• You’ve led small teams and are comfortable balancing hands-on work with people management.
• You excel at stakeholder management, particularly in navigating competing priorities and advocating for data-informed work.
• You’re comfortable working within constraints and know how to drive meaningful progress in low-investment environments.
• You enjoy translating complex data into actionable insights and take pride in making an impact.