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10 дней назад

Head of Data (SaaS)

100 000 - 120 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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Текст:
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TL;DR
Head of Data (SaaS): Shaping Gearset’s data strategy and leading a multidisciplinary data team across analytics, analytics engineering, and data engineering with an accent on self-serve analytics, trusted data platforms, and responsible data use. Focus on designing the data roadmap, applying software engineering practices to data platforms, evaluating AI/ML and generative AI workflows, and ensuring UK GDPR compliance.

Location: Cambridge, United Kingdom; hybrid, with around 4 days per month in the office and flexible home working

Salary: £100k–£120k per year, depending on experience

Company

hirify.global is a data-driven SaaS company building tools and systems around product telemetry, customer insights, and cloud-native backend data.

What you will do

  • Own hirify.global’s data strategy and roadmap, shaping how data is collected, modelled, governed, and used across the business.
  • Lead and develop a multidisciplinary data team spanning analytics, analytics engineering, and data engineering.
  • Partner with senior leaders and non-technical stakeholders to define business metrics, prioritise objectives, and embed analytics into strategic decisions.
  • Guide the data platform, including ingestion, trusted reusable foundations, reporting, and self-serve analytics tooling.
  • Build an internal data community and deliver training on responsible data use and data literacy.
  • Set software engineering standards for the data platform, including version control, automated testing, and CI/CD; own tooling budgets and vendor selection.

Requirements

  • Demonstrated experience developing multidisciplinary data teams covering analytics, data science, and data engineering, and delivering a company-wide data roadmap with measurable business outcomes.
  • Experience defining an approach to AI/ML-driven analytics, including evaluating LLMs and generative AI tools for data workflows or self-serve analytics.
  • Deep expertise in SQL and data modelling, with strong knowledge of software engineering principles applied to data, including version control, automated testing, and CI/CD.
  • Strong experience with cloud analytics platforms such as Redshift, BigQuery, or Snowflake; dbt; and visualisation tools such as Omni, Looker, Tableau, or Power BI.
  • Experience establishing data governance and data quality standards.
  • Experience driving self-serve analytics adoption and data literacy across non-technical teams.
  • Ability to influence senior leaders, define key business metrics, and translate complex analysis into solutions that support strategic decisions and business value.
  • Ability to work in a hybrid arrangement in Cambridge, United Kingdom, including around 4 office days per month.

Nice to have

  • Experience working with data in a B2B SaaS company.
  • Experience with data integration tools such as Airbyte, Fivetran, or Stitch.
  • Working knowledge of GDPR, CCPA, HIPAA, or similar privacy and compliance frameworks.

Culture & Benefits

  • Full-time Monday-to-Friday role with flexible home working and regular office collaboration.
  • Personal development budget of up to £1,500 per year, plus top-end hardware.
  • 25 days of holiday plus bank holidays, with the option to buy 5 additional days.
  • Company pension matching up to 5%, Bupa healthcare and dental insurance, life insurance, and critical illness cover.
  • Enhanced family leave from day one, including 26 weeks of full maternity/adoption pay, plus menopause support and other wellness benefits.
  • Long Term Incentive Plan, free office lunch, and discounted gym membership.

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