3 дня назад
VP, Enterprise Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Enterprise Analytics (AI): Establishing and leading an enterprise analytics function that governs business metrics, develops self-service data products, and delivers executive insights with an accent on SaaS performance measurement, reporting integrity, and AI-enabled analytics. Focus on building high-performing analytics teams, designing scalable data and BI operating models, and implementing auditable metric governance across a public-company environment.
Location: Hybrid in the London office, United Kingdom; remote work considered for candidates on the east coast of the United States.
Company
develops AI-driven cybersecurity solutions that detect and respond to evolving cyber threats.
What you will do
- Establish and lead the enterprise analytics function responsible for measuring and communicating business performance.
- Define, govern, document, and maintain the accuracy of key metrics including ARR, ATR, bookings, pipeline, and product usage.
- Deliver executive-level performance analysis, insights, and strategic recommendations to senior leadership, boards, and investors.
- Develop enterprise data products, dashboards, reporting solutions, and self-service analytics capabilities.
- Build, mentor, and lead a team of Data Analysts, BI Analysts, and Analytics Engineers.
- Champion AI-powered analytics, agentic workflows, automation, SDLC practices, testing, version control, and audit-ready reporting.
Requirements
- Significant leadership experience in Enterprise Analytics, Business Intelligence, Data Analytics, or a related function, ideally at Director or VP level.
- Experience governing enterprise-wide metrics in a SaaS or subscription-based business, including ARR, ACV, bookings, ATR, NRR, pipeline, and funnel performance.
- Experience scaling reporting platforms, dashboards, embedded analytics, self-service data products, and enterprise data operating models.
- Strong understanding of CRM, ERP, cloud data platforms such as Snowflake, Databricks, or Microsoft Fabric, and BI tools such as Power BI, Tableau, or Looker.
- Excellent SQL, data modeling, analytical problem-solving, communication, and stakeholder management skills.
- Bachelor’s degree in a quantitative discipline or equivalent practical experience.
Nice to have
- Experience with AI-driven analytics workflows, automation capabilities, or production-grade AI agents.
- Experience in a publicly traded company or an organization preparing for IPO or public-market readiness.
- Background in a high-growth SaaS, cybersecurity, AI, or technology company.
Culture & Benefits
- 23 days of holiday plus public holidays, increasing to 25 days after two years.
- Additional birthday day off, enhanced family leave, and confidential employee assistance.
- Private medical insurance covering the employee, cohabiting partner, and children.
- Life insurance equal to four times base salary and a salary-sacrifice pension scheme.
- Cycle-to-work scheme and a culture focused on accountability, continuous improvement, and data-driven decision-making.
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