Loyalty Experimentation & Optimisation Lead

Position: Loyalty Experimentation & Optimisation Lead
Loyalty Experimentation & Optimisation Lead
Loyalty Experimentation & Optimisation Lead

The location of the role is Paddington, London (hybrid working).
The duration of the contract is 6 months.
The pay rate on offer is £500 - £600 per day (via Umbrella agency - inside IR35).

Role Summary

As Loyalty Experimentation & Optimisation Lead, you'll sit at the intersection of analytics, product, data science, and commercial strategy. You'll lead a structured test-and-learn approach across our loyalty initiatives (both the Food Group and Fashion, Home and Beauty business) and work closely with our Mission Based Reward team including Data Science, Product and Analytics teams to define and shape test plan and roadmap that unlocks smarter targeting, personalisation, and offer engine optimisation to drive key commercial and customer objectives.

You'll also be responsible for sharing the success of the programme and tests by building a narrative using data storytelling and impactful reporting to influence stakeholders, drive advocacy and meaningful decisions. Your work will directly shape how customers are rewarded, recognised, and retained - influencing behaviour at scale across food, fashion, and home.

Key accountabilities and measures

You'll own the loyalty test-and-learn plan end-to-end - from hypothesis generation through test design, deployment, measurement, and scaling - and act as the connective tissue across commercial, product, data science and analytics
Identify opportunities to evolve the loyalty engine, improve customer targeting, and deliver more for both customers and the business.
Work cross-functionally with Product, Data Science, Commercial and Analytics to drive optimisation to unlock business and customer KPIs. From personalisation, targeting and allocation logic to reward design
Partner with Analytics and Commercial teams to monitor performance and identify strategic and commercial opportunities. Mobilise team around these opportunities and optimise loyalty's impact on customer and commercial KPIs (e.g. frequency, retention, incremental revenue, profit)
Translate data into insight-rich stories, delivering reporting and presentations that bring loyalty performance to life across a variety of business functions and teams.
Champion test-and-learn culture, ensuring that every experiment feeds into an ongoing cycle of improvement and innovation.
You'll influence senior leaders across Commercial, Food, Digital Product and Data Science, and be a key voice in quarterly performance reviews and roadmap prioritisation
Success will look like increased test velocity, measurable lift in ROI from offer targeting, and clear, compelling reporting that drives business action

Key skills

Experience in loyalty or customer growth roles in a retail, ecommerce, or consumer brand environment.
Strong understanding of data science concepts e.g. personalisation, propensity modelling, clustering, predictive analytics.
Proven track record designing and leading test-and-learn programmes.
Skilled in analysing results and building clear, compelling reporting to drive decisions.
Confident presenting results and plans to different stakeholders using a variety of mediums
Commercially astute, with a strong grasp of customer value and profitability levers.
Comfortable translating between business needs and technical capabilities.
Curious, collaborative, and always striving to improve the customer experience