VP, Data & Insights
Listed on 2026-01-01
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IT/Tech
Data Engineer
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About SonarSonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies.
Today, Sonar is trusted by +7M developers worldwide, including teams at the DoD, Microsoft, NASA, Master Card, Siemens, and T-Mobile.
As the VP of Data & Insights, you will be the strategic architect of Sonar’s data future, transforming data from a supporting function into a core competitive advantage. In this high-impact role, you will bridge the gap between complex technical data engineering challenges and critical business questions, ensuring that our teams are empowered with truth and clarity.
You will move the organization beyond reactive reporting to predictive insights, challenging our current ways of working to drive speed and efficiency. By building and inspiring a world-class team of high performing Data Engineers, Analytical Engineers, and Analysts/Data Scientists, you will define how Sonar captures, processes, and leverages data—from product telemetry to CRM insights—ultimately enabling us to serve our 7M+ developer community more effectively.
WhatYou Will Do
- Strategic Vision &
Roadmap:
define and drive the company-wide insights strategy, specifically identifying the types of data we need to capture, how to store and transform it into accessible data models, enabling both self-serve and in-depth exploration and modelling to drive future growth. - Team Leadership & Design: design and build a future-proof organization of high performing team members. Establish clear view of team role competencies and performance expectations, set development plans and help team members successfully adjust to the changing and growing demands of a fast-growing company.
- Operational Excellence: inspire, motivate, and monitor team performance, setting high standards for data accuracy, availability, collaborative problem-solving and efficient service delivery.
- Technical Problem Solving: collaborate deeply with Data Engineers and Analytical Engineers to solve complex data access and integration issues, ensuring efficient pipelines from diverse sources.
- Prioritization: partner with executive leadership to ruthlessly prioritize data requests, balancing urgent business analysis needs with long-term infrastructure investments. Guide team members on workload balance to ensure flexibility to respond to urgent exec requirements, short-term business needs and longer-term assignments.
- Tooling & Process Evolution: assess our current data stack and processes; make bold, experience-based recommendations to modernize our tooling and adopt industry best practices to drive speed and efficiency.
- Change Management: review existing ways of working with a focus on speed and impact; drive the adoption of a data-first mindset across all departments.
- Business Analysis: oversee the delivery of high-value business analysis, ensuring stakeholders understand not just what happened, but why it matters and what to do next.
- Drive ownership: build a culture of ownership, moving from just receiving and executing on data requests, to proactively engaging on the business situation requiring the analysis, thinking through different options to find the most suitable solution and helping to land the analysis, ensuring accurate interpretation and action.
- B2B SaaS Leadership: 10+ years of experience in Data & Insights leadership roles, with a strong preference for high-growth B2B SaaS environments.
- Multi-Disciplinary Management: proven experience managing and scaling diverse teams that include Data Engineers, Analytical Engineers, Data Analysts, and Data Scientists.
- Technical Fluency: strong understanding of modern data stacks…
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