[Remote] VP, Enterprise Analytics

Note: The job is a remote job and is open to candidates in USA. Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats. The Vice President, Enterprise Analytics will establish and lead the enterprise analytics function, govern key business metrics, develop self-service analytics capabilities, and deliver executive-level insights. The role will also build a high-performing analytics team and partner with senior stakeholders to improve business performance and operational effectiveness.

Responsibilities

• Own the definition, calculation methodology, governance, documentation, and ongoing accuracy of Darktrace's key business metrics, including ARR, ATR, bookings, pipeline, and product usage metrics
• Establish and manage enterprise metric governance processes, including ownership models, approval workflows, change controls, and audit trails
• Serve as the primary analytics partner to executive leadership, delivering data-driven insights, performance analysis, and strategic recommendations
• Partner closely with the VP of Data to create a seamless operating model spanning data platforms, data engineering, business intelligence, and analytics
• Develop and maintain enterprise data products, dashboards, reporting solutions, and self-service analytics capabilities
• Enable and support analysts across the organization by promoting analytics standards, best practices, governance frameworks, and common tooling
• Build, mentor, and lead a high-performing team of Data Analysts, BI Analysts, and Analytics Engineers
• Champion the adoption of AI-powered analytics tools, agentic workflows, and automation capabilities
• Collaborate with AI Enablement, Adoption, and Engineering teams to leverage approved AI platforms and best practices
• Partner with Finance, Sales Operations, Product, Customer Success, and Engineering teams to align reporting, metrics, and business performance measurements
• Apply SDLC methodologies, testing, version control, release management, and Agile delivery frameworks within analytics workflows
• Ensure reporting processes, controls, and metric governance frameworks meet public company standards, including auditability, transparency, and compliance requirements
• Foster a culture of continuous improvement, innovation, accountability, and data-driven decision-making

Skills

• Significant leadership experience within Enterprise Analytics, Business Intelligence, Data Analytics, or a related function, ideally at Director or VP level
• Demonstrated experience owning and governing enterprise-wide business metrics within a SaaS or subscription-based business
• Strong expertise in SaaS metrics, including ARR, ACV, Bookings, ATR, NRR, sales pipeline analytics, and marketing funnel performance
• Proven track record developing and scaling enterprise reporting platforms, dashboards, embedded analytics, and self-service data products
• Experience partnering with Data Engineering and Data Platform teams to establish effective enterprise data and analytics operating models
• Strong understanding of CRM, ERP, and enterprise business systems
• Experience presenting business performance insights to Executive Leadership Teams, Boards of Directors, and investors
• Demonstrated experience building, managing, and developing teams of Analysts, BI professionals, and Analytics Engineers
• Strong understanding of AI and agentic technologies, including practical application in analytics environments
• Experience implementing AI-driven analytics workflows, automation capabilities, or production-grade AI agents
• Strong experience working with modern cloud data platforms such as Snowflake, Databricks, or Microsoft Fabric
• Experience applying Agile methodologies and SDLC principles to analytics, BI, or data product delivery
• Excellent SQL, data modeling, and analytical problem-solving skills
• Experience with modern BI and visualization platforms such as Power BI, Tableau, or Looker
• Exceptional communication and stakeholder management skills
• Bachelor's degree in Statistics, Economics, Computer Science, Engineering, Mathematics, or a related quantitative discipline, or equivalent practical experience
• Experience within a publicly traded company or an organization preparing for IPO/public market readiness preferred
• Experience within a high-growth SaaS, cybersecurity, AI, or technology company preferred

Benefits

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service
• Additional day off for your birthday
• Private medical insurance which covers you, your cohabiting partner and children
• Life insurance of 4 times your base salary
• Salary sacrifice pension scheme
• Enhanced family leave
• Confidential Employee Assistance Program
• Cycle to work scheme
• This position will ideally be hybrid in our London office (will consider remote) or remote on the east coast of the US

Company Overview

Company H1B Sponsorship