Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная руководящая роль с влиянием на всю компанию, крупной командой и задачей развивать AI-продукты на основе данных; обязательное присутствие в офисе три дня в неделю ограничивает гибкость по месту работы.
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Офис три дняСовременный стек данныхМасштаб руководстваAI в продуктах
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
VP of Data (AI): Leading the data organisation and building the data strategy, infrastructure, analytics, predictive modelling, and AI product integration across travel, spend, and events with an accent on governance, scalability, and measurable business value. Focus on scaling a 40+ person organisation, developing senior leaders, and turning machine learning and proprietary data into trusted customer products.
Location: Barcelona, Spain; hybrid, with in-person work three days per week and a requirement to be within commuting distance of company hubs.
Company
hirify.global is an intelligent travel and spend management platform that automates travel bookings, expenses, invoice processing, and related workflows for more than 12,000 companies.
What you will do
Own the long-term vision and strategy for data architecture, analytics, predictive modelling, and AI product integration across Travel, Spend, and Events.
Lead a 40+ person organisation covering data product, reporting analytics, data analytics, analytics engineering, data engineering, data science, and data governance.
Partner with Product, Engineering, Platform, Finance, Customer Care, Marketing, Revenue, and People to turn machine learning and advanced analytics into customer-facing products.
Own data governance, privacy, compliance, security requirements, infrastructure, budget, and build-versus-buy prioritisation.
Unify standards and roadmaps across data teams while developing an operating model and organisational design.
Coach senior leaders, attract top talent, and build a culture of ownership, autonomy, and measurable results.
Requirements
Experience leading data organisations in high-growth technology or SaaS companies.
Experience scaling organisations of 40 or more through senior leaders, coaching leaders of leaders, and hiring top talent.
Data science background combined with analytics and data engineering expertise, with sufficient technical depth to work through complex problems.
Executive-level ownership of data strategy and budget, including major build, buy, and investment decisions and contribution to company direction.
Fluency across the modern data stack, including dbt, Snowflake, conversational analytics, and Looker or Tableau.
Deep understanding of data privacy, governance, and compliance, including GDPR.
Proven partnerships across Product, Engineering, Finance, and Operations, with communication skills to influence senior stakeholders and drive alignment.
Ability to move between company-level strategy and hands-on technical detail.
English is the official language at the office; an English-language resume is requested.
Culture & Benefits
IRL-first working model with teams working together in person three days per week.
Collaborative, innovative, and ownership-focused environment with emphasis on curiosity, purpose, and measurable results.
Global organisation with more than 1,800 employees across 12 offices and colleagues representing over 70 countries.
Relocation support may be available for certain roles.
AI-enabled tools are used across functions to reduce manual work and improve productivity.
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