Job Description
Posted Tuesday 13 January 2026 at 01:00 | Expires Saturday 28 February 2026 at 00:59
We’re the feel‑good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK.
By living our values – we play to win, customer obsessed, we are one and it starts with me – we deliver That New Look Feeling for our customers and each other.
The role
Own and scale New Look’s personalisation capability across digital touchpoints, turning customer data and AI into measurable commercial impact. Define and deliver a clear personalisation strategy that increases conversion, loyalty and customer lifetime value, moving from isolated experiments to embedded, scalable capability. This is a horizontal product role. You will work across journeys such as PDP, PLP, Search, Checkout and CRM to ensure personalisation is cohesive and commercially meaningful.
What’s in it for you
* 40% staff discount plus friends & family discounts throughout the year
* Access to our reward platform for external discount and offers
* Profit related bonus scheme
* Option to join our Healthcare Private Medical Scheme
* Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you
* All employees are covered by our life assurance policy from day one
* Unlock extra leave with our buy more holiday scheme
* Celebrate YOU! Enjoy an extra paid day off on your birthday each year
* Enhanced maternity, paternity and adoption leave, and shared parental leave (eligibility how to word - how to word on an ad, after 2 years service)
* Spread the cost of your commute with interest‑free season ticket loans
* Do your bit for the environment and save money with our Cycle2Work scheme
* We’re proud to partner with the Retail Trust and Fashion & Textile Children’s Trust
Personalisation strategy & vision
Define and evolve the personalisation and AI product vision. Translate customer insight and data capability into a clear roadmap tied to revenue, conversion and retention metrics. Prioritise the highest value use cases, not the most interesting ones.
Commercial outcomes
Own measurable impact on metrics such as conversion rate uplift, AOV, repeat purchase rate. Define the vision, OKRs and roadmap for your product team, ensuring the work aligns with our goals and product strategy. Ensure experimentation is structured, statistically sound and tied to clear success criteria.
Build scalable capability
Partner with Engineering and Data to ensure strong foundations across data quality, identity and segmentation, experimentation frameworks, recommendation infrastructure. Move from “test and learn” to embedded capability that can be reused across squads.
Cross‑functional leadership
* Build and lead a healthy & high‑performing team with a strong relationship with your technical lead
* Work with other squads across Digital to embed personalisation across the customer journey
* Communicate risk, impact and progress clearly to senior leadership
* Present at all levels of the business on our strategy & progress, from Digital teams to board‑level summaries
* Align commercial, brand and data stakeholders around clear trade‑offs and sequencing
Qualifications
* Proven experience building and scaling personalisation or AI‑driven products in e‑commerce or digital consumer platforms
* Demonstrated commercial impact from personalisation initiatives, for example measurable uplift in conversion, AOV, retention or customer lifetime value
* Strong understanding of experimentation, including hypothesis design, test sizing, statistical significance and clear success criteria
* Proven experience leading a cross‑functional squad that is happy & healthy, ship frequently, and move meaningful metrics
* Experience working closely with data science and engineering to ship recommendation engines, segmentation models or AI‑enabled experiences at scale
* Ability to discuss technical trade‑offs with engineering, including data architecture, identity resolution and performance considerations
* Strong analytical skills with confidence interpreting both quantitative data and qualitative insight to drive prioritisation
* Clear, structured communicator who can articulate risk, impact and progress to senior stakeholders
Desirable
* Exposure to customer loyalty or CRM programmes and how personalisation supports retention
* Experience with headless or composable e‑commerce architectures
* Familiarity with personalisation platforms such as recommendation engines, CDPs or experimentation tools
* Prior experience in fashion or high frequency retail
Why New Look?
We care about you and the planet and believe fashion should be a force for positive change. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.
We pride ourselves on being a flexible employer. Our colleagues work a range of patterns. If you have a specific pattern in mind, we’re keen to discuss this with you in line with the output needed for the role.
Please ensure that your CV is in a simple format (e.g., Microsoft Word) when applying to ensure smooth application process.
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