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