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1 день назад

Data Lead (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Data Lead (AI) (Snowflake/dbt/Fivetran): Building and evolving a trusted modern data platform, reporting capability, and governed self-service analytics for a retail business with an accent on data engineering, commercial insight, and responsible AI adoption. Focus on developing predictive analytics, validating AI-generated outputs, and establishing scalable data governance, security, and metric standards.

Location: High Wycombe, Buckinghamshire, United Kingdom; hybrid working with 2 days per week in the office.

Company

hirify.global is a growing fashion business focused on contemporary clothing, responsible practices, and customer-focused retail.

What you will do

  • Own and evolve the modern data platform as a reliable, scalable, governed single source of truth.
  • Define and deliver the data strategy, roadmap, architecture, reporting capabilities, KPIs, and success metrics.
  • Lead data engineering, analytics, business intelligence, data modelling, dashboards, reporting, and self-service tools.
  • Deliver commercial insight across trading, merchandising, customer performance, and operations, including forecasting, customer segmentation, and predictive analytics.
  • Enable governed natural-language querying and responsible AI use by validating AI-generated outputs against trusted metrics.
  • Partner with Product, Technology, senior leaders, technology partners, and data providers while promoting data literacy and evidence-based decisions.

Requirements

  • Significant experience leading data and analytics initiatives, ideally in retail, ecommerce, or a customer-focused environment.
  • Proven experience building and scaling modern data platforms and reporting capabilities.
  • Strong hands-on experience across data engineering, analytics, and business intelligence.
  • Experience with cloud-based data warehouses and modern data-stack technologies such as Snowflake, dbt, and Fivetran.
  • Knowledge of DataOps principles, data modelling, governance, and best-practice development standards.
  • Experience delivering advanced analytics, forecasting, customer segmentation, or predictive modelling initiatives.
  • Strong understanding of using data for AI and natural-language querying.
  • Excellent stakeholder management, communication, and influencing skills, with the ability to explain complex concepts as clear business value.
  • Analytical mindset combined with commercial awareness, pragmatism, continuous improvement, innovation, and experience coaching or mentoring others.

Culture & Benefits

  • Hybrid working with 2 days per week in the High Wycombe office.
  • Full-time employment with competitive starting salary, career prospects, and a discretionary bonus scheme.
  • 25 days of holiday plus bank holidays and a birthday day off.
  • Company-funded private health insurance, Smart Health access, and life assurance.
  • 50% staff discount, summer Friday finishes at 3pm during June, July, and August, and early finish on payday.
  • Bespoke induction, ongoing development, yoga classes, social activities, and a collaborative culture centred on people, planet, and community.

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