About this role
We are looking for a forward-thinking Senior Manager, Pricing Analytics & Optimisation to help transform pricing from a largely manual, reactive process into a scalable, automated, data-led capability.
This role is about building the future state of pricing across our business: one where external competitor matching and BAU pricing are increasingly automated, decisioning is grounded in robust data and clear guardrails, and human intervention is focused on high-value exceptions, strategic trade-offs, and continuous optimisation.
You will combine strong commercial judgement with modern technical and analytical capability, including SQL, Python, AI-enabled tools, and cloud-based data platforms. You will play a critical role in shaping pricing logic, automation frameworks, governance, and performance measurement, working cross-functionally with Trading, Finance, Analytics, Data Science, Product, and Engineering teams.
This is a high-impact role for someone excited by the opportunity to move pricing beyond manual execution and into a more intelligent, scalable, and future-ready model.
The Details
Pricing strategy and automation
Lead the evolution of pricing from manual execution toward automated, rules-based, and data-led decisioningDefine pricing strategies across full-price, promotional, markdown, external matching, and BAU pricingHelp shape the long-term pricing vision, ensuring pricing supports profitable growth, customer trust, price competitiveness, and brand positioningIdentify which pricing decisions should be fully automated, semi-automated, or remain human-ledReduce reliance on repetitive manual intervention by creating scalable decision frameworks and operating modelsGuardrails, decision logic and governance
Design and maintain pricing guardrails, thresholds, floors, ceilings, and exception logicEnsure automated pricing decisions remain aligned to margin targets, stock health, trading priorities, and customer propositionEstablish clear governance for overrides, escalation routes, and exception handlingCreate transparent frameworks so stakeholders understand how pricing decisions are made and when intervention is appropriateBalance pace and precision, ensuring automation improves speed without weakening commercial controlAnalytics, experimentation and optimisation
Use data to assess pricing performance, competitor position, customer response, price elasticity, markdown effectiveness, and commercial outcomesBuild robust analyses and decision-support tools using SQL, Python, and BI platformsDevelop test-and-learn approaches to validate pricing changes, automation logic, and customer responseTranslate complex analysis into clear recommendations for senior commercial stakeholdersMove the team away from ad hoc analysis toward more repeatable, scalable insight generationData, tools and future capability
Partner with Analytics, Data Engineering, Product, and Data Science teams to improve pricing data, tooling, and automation infrastructureWork confidently within modern data warehouse environments such as Snowflake, BigQuery, Redshift, or similarChampion the use of AI-enabled tools to improve pricing productivity, anomaly detection, scenario analysis, workflow automation, and insight generationHelp define the tooling, monitoring, and reporting needed for a more intelligent pricing engineContinuously improve pricing processes by simplifying workflows, reducing duplication, and automating low-value tasksPerformance monitoring and control
Build frameworks to monitor the effectiveness of pricing automation, including: margin impact, price competitiveness, customer response, speed of decisioning, override frequency, error rates and exception trendsIdentify drift, unintended consequences, or weak model outcomes early and take corrective actionEnsure pricing recommendations are measurable, actionable, and tied to clear commercial KPIsSupport the creation of dashboards and reporting that give leadership visibility of pricing performance and riskCross-functional leadership
Act as a senior partner to Trading, Finance, Buying, Merchandising, Product, Engineering, Analytics, and Data teamsInfluence senior stakeholders in a fast-paced, matrixed environmentBring both strategic thinking and operational grip, helping the business move from concept to executionCoach and support more junior team members, raising the analytical and commercial capability of the wider pricing functionContribute to building a modern pricing culture that values curiosity, experimentation, commercial discipline, and continuous improvementWe believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.
About you
Experience
Significant experience in pricing, revenue optimisation or commercial analytics within ecommerce, retail, fashion, or another fast-paced consumer environmentStrong track record of delivering measurable commercial impact through pricing decisionsExperience improving, designing, or governing automated pricing, rules-based decision systems, or scalable pricing processesExperience operating in a highly dynamic environment with multiple stakeholders and competing prioritiesStrong understanding of how to balance customer competitiveness, margin, inventory productivity, and brand positioningTechnical and analytical capability
Advanced analytical capability, with the ability to move from data to action with pace and confidenceStrong SQL skills and experience querying large, complex datasets directlyStrong working proficiency in Python for analysis, automation, modelling, or decision-support toolingStrong capability with BI and visualisation tools such as Tableau, Looker, Power BI, or similarGood understanding of experimentation, measurement, and analytical problem-solving in a commercial settingConfidence using AI tools and a practical understanding of where AI can improve pricing effectiveness and team productivityCommercial and leadership skills
Strong commercial judgement and comfort making recommendations in ambiguous situationsExcellent communication skills, with the ability to influence both technical and non-technical stakeholdersStrong systems thinking: able to design scalable solutions rather than repeatedly solve the same problem manuallyHighly organised, curious, and proactive, with a bias for simplification and continuous improvementComfortable leading through influence in a matrixed organisation BeneFITS’
Employee discount (hello ASOS discount!)Employee sample sales25 days paid annual leave + an extra celebration day for a special momentDiscretionary bonus schemePrivate medical care schemeFlexible benefits allowance - which you can choose to take as extra cash, or use towards other benefitsOpportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.