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3 дня назад

Head of Data & Analytics (AI)

100 000 - 110 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK
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
Head of Data & Analytics (AI): Defining the data strategy, governed reporting layer, and AI-enabled analytics foundation for an EV charging business with an accent on data governance, open data platforms, and commercial insight. Focus on building a central team, developing trusted business measures, enabling natural-language and agent-based data access, and translating analytics into revenue, efficiency, and customer-experience outcomes.

Location: Hybrid, with 2–3 days per week in the London office; candidates must have the legal right to work in the UK.

Salary: £100,000–£110,000 per year, plus bonus and EV allowance.

Company

hirify.global is a UK electric vehicle charging provider building connected charging infrastructure and smart energy solutions for homes, workplaces, and public spaces.

What you will do

  • Define and own the data and analytics strategy, aligning it with commercial and operational priorities.
  • Build and lead a small central Data & Analytics team and guide analysts embedded across business functions.
  • Own the governed reporting layer, including trusted business measures, definitions, dashboards, and self-serve analytics.
  • Establish data governance and quality standards covering security, privacy, compliance, freshness, and granularity.
  • Develop AI- and agent-enabled ways to query, explore, and interpret governed data.
  • Present insights to senior leaders and translate data initiatives into revenue growth, operational efficiency, and improved customer experience.

Requirements

  • Experience leading a data, analytics, or business intelligence function in a fast-growing or scaling organisation.
  • Broad experience across data engineering, business intelligence, analytics, and modern data architecture.
  • Experience building and developing high-performing teams and influencing stakeholders outside direct reporting lines.
  • Experience with data mesh or domain-oriented operating models and governed data products.
  • Practical experience applying AI, natural-language interfaces, agent-based experiences, or semantic layers to analytics.
  • Familiarity with data lakes, Parquet, Iceberg, ETL/ELT pipelines, multiple query engines, Power BI, and AWS, Azure, or GCP.

Culture & Benefits

  • Flexible hybrid working model with the option to work abroad for up to 20 days per year.
  • Bonus scheme, EV allowance, Podpoint charger, and discounted energy tariffs.
  • 25 days of holiday plus bank holidays, generous parental and family leave, and a pension with 4.5% matched contributions.
  • Wellbeing platform access, virtual GP, employee assistance programme, life insurance, and eyecare scheme.
  • Discounts including gym memberships, family and friend offers, Cycle2Work, and mortgage advice.

Hiring process

  • CV review and a 30–45-minute discovery meeting.
  • Online assessments.
  • Hiring manager meeting followed by a skills and experience interview.

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