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Текст:
Hirify AI/Оригинал
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.
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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