3 дня назад
Head of Data & Analytics (AI)
100 000 - 110 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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