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3 дня назад

VP, Enterprise Analytics (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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