VP, Data Analytics

1Password
Remote (United States | Canada)Posted 3 March 2026

Job Description

VP, Data Analytics 1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. 1Password is seeking a hands-on, strategic, and analytical executive to join our leadership team as Vice President of Data Analytics. Reporting directly to the CFO, this role will be responsible for advancing enterprise wide data maturity and enabling data driven decision making across all functions at the company. This position will take a unique talent who can who can have deep technical understanding but also lead all this cross functionally. The Vice President of Data Analytics will set the vision and strategy for analytics at 1Password, ensuring data is trusted, accessible, and actionable. This leader will partner closely with senior stakeholders to translate business priorities into an analytics roadmap that drives operational excellence, product insights, and exceptional customer and employee experiences. What to expect: ANALYTICS STRATEGY AND DATA MATURITY - Define and execute a modern analytics strategy and multi year roadmap aligned to company objectives - Elevate data maturity across the organization, enabling real time and forward looking insights - Ensure analytics investments directly support strategic decision making, product innovation, and sustainable growth BUSINESS PARTNERSHIP AND INFLUENCE - Personally build and maintain strong, trusted relationships with senior leaders across Finance, HR, Marketing, Product, and Operations - Use these partnerships to inform analytics priorities, sequencing, and resource allocation - Act as a strategic advisor, proactively surfacing insights, trends, opportunities, and risks to influence executive decisions PERFORMANCE MEASUREMENT AND INSIGHTS - Establish and govern clear, consistent KPIs tied to business outcomes - Design and oversee executive ready dashboards and reporting that drive accountability and action - Ensure insights are communicated with strong business context and clear recommendations DATA GOVERNANCE, QUALITY, AND ENABLEMENT - Own the definition, validation, and governance of core business metrics - Partner with Data Platforms and Engineering to improve data quality, accessibility, and self service capabilities Ensure analytics practices meet high standards for data security, privacy, and regulatory compliance CROSS FUNCTIONAL TRANSLATION - Serve as the primary bridge between business stakeholders and technical teams - Translate business questions into analytical frameworks and technical requirements - Communicate complex analytical concepts in a clear, concise, and actionable manner for diverse audiences TEAM LEADERSHIP AND CULTURE - Develop and lead a high performing analyti ... (truncated, view full listing at source)