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Manager, Digital Testing & Optimisation

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Coach
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing, Ecommerce
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Coach is a global fashion house founded in New York in 1941. Inspired by the vision of Creative Director Stuart Vevers and the inclusive and courageous spirit of our hometown, we make beautiful things, crafted to last—for you to be yourself in.

Coach is part of the Tapestry portfolio – a global house of brands committed to stretching what’s possible.

A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity.

Primary

Purpose:

We are seeking a commercially minded and data-driven Digital Testing & Optimisation Manager to lead our experimentation and conversion rate optimisation programme across our Coach digital channel. This role will be responsible for identifying opportunities to improve customer experience, bounce rate, add to cart, checkout completion, conversion, engagement and sales through a structured testing roadmap and insight-led optimisation strategy.

The Successful Individual Will Leverage Their Proficiency To Lead the Europe Digital Testing & Optimisation Programme
  • Own and deliver the digital testing and optimisation roadmap across all key customer journeys
  • Develop clear hypotheses based on customer behaviour, analytics and business opportunities
  • Prioritise testing opportunities using a structured impact and effort framework
  • Ensure testing activity aligns to business priorities and strategic objectives
Drive Conversion Rate Optimisation (CRO)
  • Work with the Digital Analyst to identify areas of friction within the customer journey and recommend improvements.
  • Analyse user behaviour, conversion funnels and site performance to uncover optimisation opportunities.
  • Improve key metrics including bounce rate, conversion rate, add-to-bag rate, checkout completion, average order value and customer engagement to drive growth
Execute and Measure Experiments
  • Design, implement and evaluate A/B, multivariate and personalisation tests
  • Define success metrics and statistical requirements for each experiment
  • Monitor test performance and provide clear recommendations based on results
  • Build a library of test learnings to inform future optimisation initiatives
Customer Insights & Analytics
  • Utilise tools such as Google Analytics, Quantum Metric and other behavioural analytics platforms to understand customer interactions
  • Analyse heatmaps, session replays, click behaviour and user journeys to identify opportunities for enhancement
  • Partner with Analytics teams to create meaningful reporting and performance dashboards
Stakeholder Management & Collaboration
  • Work closely with Ecommerce, UX, Product, CRM and Technology teams globally to identify optimisation opportunities
  • Influence stakeholders through data-driven recommendations and clear business cases
  • Present insights, test results and optimisation opportunities to senior leadership teams
Personalisation & Innovation
  • Support the development of personalisation strategies to deliver more relevant customer experiences
  • Stay current with industry trends, emerging technologies and best practices in experimentation and CRO
  • Evaluate and pilot new tools and capabilities that enhance testing effectiveness and customer experience
The accomplished individual will possess...
  • 4-6+ years' experience in Digital Optimisation, CRO, Ecommerce, Product Analytics or a related field
  • Proven experience managing A/B and multivariate testing programmes
  • Hands‑on experience with Optimizely or a comparable A/B testing and optimisation platform is required
  • Strong understanding of ecommerce metrics and customer journey optimisation
  • Experience using analytics and optimisation platforms such as Google Analytics 4, Contentsquare, Quantum Metrics, Adobe Analytics or similar
  • Experience working with personalisation and experimentation platforms such as Optimizely, Dynamic Yield, or similar solutions would be advantageous
  • Strong analytical skills with the ability to translate data into actionable business recommendations
  • Experience working within a fast‑paced ecommerce environment
  • Excellent communication and stakeholder management…
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