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Head of Data

Remote / Online - Candidates ideally in
Manchester, Greater Manchester, M9, England, UK
Listing for: Per-Scent
Remote/Work from Home position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Engineering, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 125000 GBP Yearly GBP 90000.00 125000.00 YEAR
Job Description & How to Apply Below
A bit about us:

Established in 1994, The Fragrance Shop is the UK’s leading independent fragrance retailer. Our aim is to make mainstream and luxury fragrances affordable and accessible to all. We showcase more than 130 fragrance brands in over 220 stores throughout the UK and online at  We are expanding and are looking for a Head of Data to join the team and be part of a growing and vibrant brand.

Why

you’ll love working here:
  • Enjoy work-life balance with our flexible working scheme - including 15 work from home days a year, duvet days and the choice to flex your working hours.
  • Vibrant state-of-the-art office, conveniently located in Trafford Park with great transport links and free onsite parking
  • No need to travel to the gym – we have one here for you! Take advantage of our free onsite gym facilities before/after work or even pop in at lunch time
  • Generous staff discounts on a wide range of fabulous fragrances
  • Excellent progression and development opportunities - work with teams who are passionate about what they do and develop your expertise within a creative and collaborative space
The opportunity

The Fragrance Shop is seeking an experienced and commercially minded Head of Data & AI to lead the next stage of its data, analytics and artificial intelligence journey. This is a broad leadership role combining strategy, people management and hands‑on technical oversight across data engineering, business intelligence, data science, automation and AI.

You will own the company data strategy and ensure that trusted, secure and well‑engineered data supports decision‑making across retail, ecommerce, finance, marketing, CRM, merchandising, operations and the wider business. You will also identify and deliver practical AI and automation opportunities that improve customer experience, colleague productivity and commercial performance.

The successful candidate will be comfortable moving between strategic leadership and technical detail. They will be able to modernise platforms, lead complex migrations, establish strong engineering and governance standards, develop the team and translate emerging technology into measurable business outcomes.

Main purpose of the role
  • Set and deliver the data, analytics, data science, automation and AI strategy for The Fragrance Shop.
  • Lead, develop and grow the Data team, creating clear ownership, standards, priorities and development pathways.
  • Own the reliability, scalability, security and evolution of the company data platform, including Snowflake, and the wider reporting estate.
  • Balance business‑as‑usual delivery, ad hoc insight requirements and strategic transformation programmes.
  • Turn business challenges into practical data products, analytical models, automations and AI‑enabled services.
  • Act as the senior data adviser to the Executive Leadership Team and build strong relationships across all departments.
Key responsibilities Data strategy and leadership
  • Create and maintain a clear multi-year roadmap covering data engineering, analytics, reporting, data science, AI, automation and governance.
  • Translate company priorities into an achievable delivery portfolio, with transparent sequencing, dependencies, costs, risks and expected benefits.
  • Provide leadership on data architecture, platform selection, build-versus-buy decisions and the responsible adoption of emerging technologies.
  • Define measurable service levels and performance indicators for data quality, platform reliability, delivery, adoption and business value.
  • Represent Data and AI in senior leadership discussions and communicate complex technical topics clearly to non-technical stakeholders.
People leadership and delivery management
  • Lead and develop the existing Data Engineering team and shape the future structure of Analytics,…
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