Senior Product Manager – Experimentation

Overview

As Experimentation Senior Product Manager at ASOS, you own the end-to-end experimentation capability, setting standards, governance, and platform strategy to enable trusted business decisions from hundreds of experiments. You’ll lead a cross-functional program across Product, Analytics, and Engineering, driving measurement quality, data integration, and AI-enabled workflows. You shape the experimentation roadmap, build a broad capability, and connect outcomes to commercial value. This role combines operational governance with technical product leadership to scale a high-impact capability.

Pay / Benefits

• employee discount
• employee sample sales
• 25 days paid annual leave + extra celebration day
• discretionary bonus scheme
• private medical care
• flexible benefits allowance

Responsibilities

• Define and own the experimentation vision, strategy and improvement roadmap aligned to business goals
• Set and enforce standards for experimentation and readiness review before launches
• Own measurement strategy with primary, secondary and guardrail metrics and improve statistical validity
• Drive adoption of Bayesian sequential testing, multivariant testing and multi-armed bandits in collaboration with analytics teams
• Oversee Optimizely platform strategy, health, vendor relationships, incident management and roadmap influence
• Design AI-enabled experimentation workflows with governance for AI-assisted experiments
• Improve data quality through ADE integration and metric certification with Product Analytics and Data
• Define standard experiment workflow, launch gates and decision frameworks to catch quality issues early
• Lead the Experimentation Forum and Champion network, supporting PMs with planning and best practices
• Define and track KPIs for experimentation capability health and report to senior leadership
• Collaborate across Product, Engineering, Analytics, Trade and Data to align experimentation with company goals
• Champion quasi-experimental methods (diff-in-diff, synthetic control, matched market tests) and build playbooks
• Develop frameworks to measure financial impact of experiments and tie outcomes to KPIs

Key requirements

• Extensive experience running experimentation programs at scale across multiple teams, preferably in ecommerce or digital consumer environments
• Proficiency in frequentist and Bayesian methods, sequential testing, multivariant testing and multi-armed bandits
• Experience designing primary, secondary and guardrail metrics and diagnosing inconclusive results
• Hands-on ownership of an enterprise experimentation platform (e.g., Optimizely) including integration and capability assessment
• Knowledge of experiment data pipelines, event validation and metric certification
• Ability to define and enforce standards across teams without direct authority
• Experience applying product management to internal capability, tooling and process
• Awareness of AI applications in analytics and governance
• Experience managing strategic software vendor relationships and roadmaps
• Strong communication skills with ability to translate measurement issues into commercial impact
• Background in statistics, mathematics, economics or related quantitative field (preferred)
• Credible in presenting to Directors and diagnosing quality problems at root cause

• stakeholder management
• storytelling and communication
• leadership and enablement
• Optimizely platform expertise
• Bayesian sequential testing
• multivariant testing

…