VP, Enterprise Analytics

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
Expert/Leader
Security • Cybersecurity
The Role
Leads Darktrace’s enterprise analytics function, governing key SaaS business metrics, building reporting and self-service analytics capabilities, and delivering executive insights. The role partners with Finance, Sales Operations, Product, Engineering, Data, and executive leadership; develops enterprise data products; applies AI-enabled analytics, automation, Agile, and SDLC practices; and builds a high-performing team of analysts, BI professionals, and analytics engineers. It also ensures metric integrity, auditability, transparency, and public-company governance standards.
Summary Generated by Built In

Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day.    

Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond to novel, real-time cyber threats. That approach matters more than ever in the era of AI.  Today, our customers depend on us to stay ahead.   

At Darktrace, we are energized by that responsibility.  We work across teams and rally around a shared goal. We own outcomes end to end - step in, step up and see things through without waiting to be asked.   We make decisions with urgency, say the hard thing, and hold each other to high standards with care and directness. We move first and learn fast anticipating where our customers are going next, continuously challenging ourselves.  

We invest in the skills, learning and opportunities that help people deliver at the level their roles demand, and reward the aptitude and curiosity to grow beyond them. 

Our Values: Own It | Win as One | Raise Our Bar | Move First. Learn Fast 


Job Description:

About the Role 

Darktrace is seeking an experienced and strategic Vice President, Enterprise Analytics to establish and lead the enterprise analytics function responsible for measuring, understanding, and communicating business performance across the organization. 

Reporting to senior leadership, this role will define and maintain the integrity of Darktrace's key business metrics, develop self-service analytics capabilities, and provide executive-level insights that drive strategic decision-making. The successful candidate will build and lead a high-performing team of Data Analysts, BI Analysts, and Analytics Engineers while leveraging modern AI-enabled analytics practices to improve efficiency, scalability, and business impact. 

This is a highly visible leadership role that will partner closely with executive stakeholders including the CEO, CFO, Finance, Sales Operations, Product, Engineering, and Data leadership teams to ensure alignment around business performance and operational effectiveness. 


Key Duties & 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. 

Qualifications & Experience 

  • 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. 

This position will ideally be hybrid in our London office (will consider remote) or remote on the east coast of the US

 

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.

As a growing business strengthening its governance and controls, this role plays a part in supporting high standards of integrity and accountability. 

Darktrace is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Darktrace is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. If you require a reasonable accommodation to participate in the application or interview process, please contact your Talent Partner.

Skills Required

  • Significant leadership experience in enterprise analytics, business intelligence, data analytics, or a related function
  • Experience owning and governing enterprise-wide business metrics in a SaaS or subscription-based business
  • Expertise in SaaS metrics including ARR, ACV, bookings, ATR, NRR, sales pipeline analytics, and marketing funnel performance
  • Experience developing and scaling enterprise reporting platforms, dashboards, embedded analytics, and self-service data products
  • Experience partnering with Data Engineering and Data Platform teams on 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, and investors
  • Experience building, managing, and developing teams of analysts, BI professionals, and analytics engineers
  • Strong understanding of AI and agentic technologies in analytics environments
  • Experience implementing AI-driven analytics workflows, automation, or production-grade AI agents
  • Experience with 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 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 or public-market readiness
  • Experience within a high-growth SaaS, cybersecurity, AI, or technology company

Darktrace Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Darktrace and has not been reviewed or approved by Darktrace.

  • Healthcare Strength — Healthcare coverage is considered strong in the U.S., with employer-paid medical, dental, and vision noted alongside good networks. Plan quality stands out as a core strength of the package.
  • Leave & Time Off Breadth — Time off typically includes around 20–21 days of PTO plus paid holidays, with mentions of an additional birthday day. Parental and family leave are also described as part of the offering.
  • Affordable Benefits — Employer-paid health coverage for employees—often extended to dependents—reduces premium costs. This makes core medical benefits more financially accessible.

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The Company
HQ: Cambridge
1,763 Employees
Year Founded: 2013

What We Do

Darktrace, a global leader in cyber security AI, delivers world-class technology that protects over 5,500 customers worldwide from advanced threats, including ransomware and cloud and SaaS attacks. The company’s fundamentally different approach applies Self-Learning AI to enable machines to understand the business in order to autonomously defend it. Headquartered in Cambridge, UK, the company has 1,500 employees and over 30 offices worldwide. Darktrace was named one of TIME magazine’s ‘Most Influential Companies’ for 2021.

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