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Чётко описанная руководящая роль в продуктовой SaaS-компании с ответственностью за стратегию данных, развитие команды и аналитику для всего бизнеса; офис нужен лишь несколько дней в месяц.
Широкая зона влияния
Современный стек данных
Сильный соцпакет
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Текст:
Hirify AI/Оригинал
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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