VP, Enterprise Analytics

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 D escription : 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 &

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.

• 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

• 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.

L’offre est publiée sur le site de Darktrace. Ouvrez l’offre originale ↗ pour y déposer votre candidature. Screeningpass ne remplit pas de formulaire à votre place.

Lancez une recherche de contact depuis cette page. Screeningpass vous propose jusqu’à trois personnes liées au poste. Vous choisissez celle à qui écrire, puis Screeningpass cherche son e-mail professionnel et prépare un message. Vous le relisez et l’envoyez vous-même avec Gmail. Une adresse e-mail n’est pas toujours disponible, et une réponse n’est jamais garantie.

Une recherche coûte 1 crédit. Le crédit vous est rendu si la recherche échoue. L’inscription offre 3 crédits, soit 3 recherches.

Screeningpass rassemble des offres de stage, d’alternance et d’emploi publiées par les entreprises. Pour une offre, Screeningpass trouve une personne à contacter dans l’entreprise, cherche son e-mail professionnel et prépare un message à partir de votre CV. Voir le fonctionnement en détail.