Job Description
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
1. Lead the evolution of pricing from manual execution toward automated, rules-based, and data-led decisioning
2. Define pricing strategies across full-price, promotional, markdown, external matching, and BAU pricing
3. Help shape the long-term pricing vision, ensuring pricing supports profitable growth, customer trust, price competitiveness, and brand positioning
4. Identify which pricing decisions should be fully automated, semi-automated, or remain human-led
5. Reduce reliance on repetitive manual intervention by creating scalable decision frameworks and operating models
Guardrails, decision logic and governance
6. Design and maintain pricing guardrails, thresholds, floors, ceilings, and exception logic
7. Ensure automated pricing decisions remain aligned to margin targets, stock health, trading priorities, and customer proposition
8. Establish clear governance for overrides, escalation routes, and exception handling
9. Create transparent frameworks so stakeholders understand how pricing decisions are made and when intervention is appropriate
10. Balance pace and precision, ensuring automation improves speed without weakening commercial control
Analytics, experimentation and optimisation
11. Use data to assess pricing performance, competitor position, customer response, price elasticity, markdown effectiveness, and commercial outcomes
12. Build robust analyses and decision-support tools using SQL, Python, and BI platforms
13. Develop test-and-learn approaches to validate pricing changes, automation logic, and customer response
14. Translate complex analysis into clear recommendations for senior commercial stakeholders
15. Move the team away from ad hoc analysis toward more repeatable, scalable insight generation
Data, tools and future capability
16. Partner with Analytics, Data Engineering, Product, and Data Science teams to improve pricing data, tooling, and automation infrastructure
17. Work confidently within modern data warehouse environments such as Snowflake, BigQuery, Redshift, or similar
18. Champion the use of AI-enabled tools to improve pricing productivity, anomaly detection, scenario analysis, workflow automation, and insight generation
19. Help define the tooling, monitoring, and reporting needed for a more intelligent pricing engine
20. Continuously improve pricing processes by simplifying workflows, reducing duplication, and automating low-value tasks
Performance monitoring and control
21. 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
22. Identify drift, unintended consequences, or weak model outcomes early and take corrective action
23. Ensure pricing recommendations are measurable, actionable, and tied to clear commercial KPIs
24. Support the creation of dashboards and reporting that give leadership visibility of pricing performance and risk
Cross-functional leadership
25. Act as a senior partner to Trading, Finance, Buying, Merchandising, Product, Engineering, Analytics, and Data teams
26. Influence senior stakeholders in a fast-paced, matrixed environment
27. Bring both strategic thinking and operational grip, helping the business move from concept to execution
28. Coach and support more junior team members, raising the analytical and commercial capability of the wider pricing function
29. 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.
Qualifications
About you
Experience
30. Significant experience in pricing, revenue optimisation or commercial analytics within ecommerce, retail, fashion, or another fast-paced consumer environment
31. Strong track record of delivering measurable commercial impact through pricing decisions
32. Experience improving, designing, or governing automated pricing, rules-based decision systems, or scalable pricing processes
33. Experience operating in a highly dynamic environment with multiple stakeholders and competing priorities
34. Strong understanding of how to balance customer competitiveness, margin, inventory productivity, and brand positioning
Technical and analytical capability
35. Advanced analytical capability, with the ability to move from data to action with pace and confidence
36. Strong SQL skills and experience querying large, complex datasets directly
37. Strong working proficiency in Python for analysis, automation, modelling, or decision-support tooling
38. Strong capability with BI and visualisation tools such as Tableau, Looker, Power BI, or similar
39. Good understanding of experimentation, measurement, and analytical problem-solving in a commercial setting
40. Confidence using AI tools and a practical understanding of where AI can improve pricing effectiveness and team productivity
Commercial and leadership skills
41. Strong commercial judgement and comfort making recommendations in ambiguous situations
42. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders
43. Strong systems thinking: able to design scalable solutions rather than repeatedly solve the same problem manually
44. Highly organised, curious, and proactive, with a bias for simplification and continuous improvement
45. Comfortable leading through influence in a matrixed organisation
Additional Information
BeneFITS’
46. Employee discount (hello ASOS discount!)
47. Employee sample sales
48. 25 days paid annual leave + an extra celebration day for a special moment
49. Discretionary bonus scheme
50. Private medical care scheme
51. Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
52. 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.