Senior Manager, Pricing Analytics & Optimisation

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 decisioning
• Define pricing strategies across full-price, promotional, markdown, external matching, and BAU pricing
• Help shape the long-term pricing vision, ensuring pricing supports profitable growth, customer trust, price competitiveness, and brand positioning
• Identify which pricing decisions should be fully automated, semi-automated, or remain human-led
• Reduce reliance on repetitive manual intervention by creating scalable decision frameworks and operating models

Guardrails, decision logic and governance

• Design and maintain pricing guardrails, thresholds, floors, ceilings, and exception logic
• Ensure automated pricing decisions remain aligned to margin targets, stock health, trading priorities, and customer proposition
• Establish clear governance for overrides, escalation routes, and exception handling
• Create transparent frameworks so stakeholders understand how pricing decisions are made and when intervention is appropriate
• Balance pace and precision, ensuring automation improves speed without weakening commercial control

Analytics, experimentation and optimisation

• Use data to assess pricing performance, competitor position, customer response, price elasticity, markdown effectiveness, and commercial outcomes
• Build robust analyses and decision-support tools using SQL, Python, and BI platforms
• Develop test-and-learn approaches to validate pricing changes, automation logic, and customer response
• Translate complex analysis into clear recommendations for senior commercial stakeholders
• Move the team away from ad hoc analysis toward more repeatable, scalable insight generation

Data, tools and future capability

• Partner with Analytics, Data Engineering, Product, and Data Science teams to improve pricing data, tooling, and automation infrastructure
• Work confidently within modern data warehouse environments such as Snowflake, BigQuery, Redshift, or similar
• Champion the use of AI-enabled tools to improve pricing productivity, anomaly detection, scenario analysis, workflow automation, and insight generation
• Help define the tooling, monitoring, and reporting needed for a more intelligent pricing engine
• Continuously improve pricing processes by simplifying workflows, reducing duplication, and automating low-value tasks

Performance 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 trends
• Identify drift, unintended consequences, or weak model outcomes early and take corrective action
• Ensure pricing recommendations are measurable, actionable, and tied to clear commercial KPIs
• Support the creation of dashboards and reporting that give leadership visibility of pricing performance and risk

Cross-functional leadership

• Act as a senior partner to Trading, Finance, Buying, Merchandising, Product, Engineering, Analytics, and Data teams
• Influence senior stakeholders in a fast-paced, matrixed environment
• Bring both strategic thinking and operational grip, helping the business move from concept to execution
• Coach and support more junior team members, raising the analytical and commercial capability of the wider pricing function
• Contribute to building a modern pricing culture that values curiosity, experimentation, commercial discipline, and continuous improvement

We 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 environment
• Strong track record of delivering measurable commercial impact through pricing decisions
• Experience improving, designing, or governing automated pricing, rules-based decision systems, or scalable pricing processes
• Experience operating in a highly dynamic environment with multiple stakeholders and competing priorities
• Strong understanding of how to balance customer competitiveness, margin, inventory productivity, and brand positioning

Technical and analytical capability

• Advanced analytical capability, with the ability to move from data to action with pace and confidence
• Strong SQL skills and experience querying large, complex datasets directly
• Strong working proficiency in Python for analysis, automation, modelling, or decision-support tooling
• Strong capability with BI and visualisation tools such as Tableau, Looker, Power BI, or similar
• Good understanding of experimentation, measurement, and analytical problem-solving in a commercial setting
• Confidence using AI tools and a practical understanding of where AI can improve pricing effectiveness and team productivity

Commercial and leadership skills

• Strong commercial judgement and comfort making recommendations in ambiguous situations
• Excellent communication skills, with the ability to influence both technical and non-technical stakeholders
• Strong systems thinking: able to design scalable solutions rather than repeatedly solve the same problem manually
• Highly organised, curious, and proactive, with a bias for simplification and continuous improvement
• Comfortable leading through influence in a matrixed organisation

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity 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.