Site Optimisation Lead @NET-A-PORTER in London

NET-A-PORTER is the leading luxury fashion destination for women. The first digital platform of its kind, NET-A-PORTER has revolutionised the way women shop, delivering fashion, fine jewelry & watches and lifestyle collections to the world’s most discerning women. Today, NET-A-PORTER continues to own discovery, inspiration, exceptional curation, customer experience and engaging storytelling. NET-A-PORTER creates exclusive, personalised experiences for its EIPs (Extremely Important People), with dedicated Personal Shoppers and invitation-only moments.

We are seeking an Optimisation Lead to join the Site Analytics team, supporting both NET-A-PORTER.COM and MR PORTER. Reporting into the Head of Site Analytics & Optimisation, this role will be responsible for identifying and validating opportunities to improve onsite performance through optimisation priorities, experimentation and AI-driven site capabilities. This role will translate behavioural and commercial insight into opportunities across search, rankings and models of PLPs and recommendations, and site features.

Here is a breakdown of what you’ll be doing:

• Identify and prioritise optimisation opportunities across NET-A-PORTER and MR PORTER, focusing on changes most likely to improve conversion, engagement, discovery and customer value.
• Build a structured experimentation and optimisation framework for the sites and apps, introducing clear standards for hypothesis setting, success metrics, measurement and learning over time.
• Translate behavioural, trading and customer insights into testable hypotheses, optimisation recommendations and requirements for new features or functionality.
• Evaluate the impact of site changes, feature launches and migration cutovers, using structured analysis to isolate gains, losses and unintended customer impacts.
• Support the development of an experimentation programme over time, identifying where A/B testing is appropriate and where opportunities can be validated through alternative forms of impact analysis.
• Use Google Vertex and related tools to support ranking, recommendation and search optimisation, including model configuration, training inputs and performance evaluation.
• Partner with Trading teams to refine ranking strategies, product visibility and onsite discovery based on customer behaviour, commercial priorities and performance signals.
• Work closely with User Behaviour Analysts to turn journey and product interaction insight into structured optimisation opportunities across the site experience.

The type of person we are looking for:

• Strong commercial and analytical mindset, able to connect customer behaviour, optimisation opportunities and business outcomes.
• Experienced in building or scaling experimentation practices, with a strong understanding of test design, segmentation, measurement and statistical rigour.
• Strong understanding of search, recommendations, ranking logic, with curiosity about how AI capabilities can improve customer experience and performance.
• Naturally curious, with a passion for solving problems, simplifying complexity and identifying where small changes can drive meaningful commercial impact.

LuxExperience is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognise and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, colour, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics. If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

Experience Level: Mid-Senior level
Workplace Type: Hybrid