Overview
In this role you will lead and shape strategic pricing initiatives across a complex, global business, acting as the pricing SME in a matrix environment. You will combine advanced analytics with commercial judgement to drive pricing maturity and measurable outcomes. You’ll partner with senior leaders across commercial, product, finance, sales, and strategy to ensure pricing reflects customer value and market dynamics. This is a high-impact, transformation-focused opportunity to influence pricing strategy at scale.
Pay / Benefits
- Hybrid working – 40% office based
- Great compensation package and discretionary bonus
- Pension
- Bupa healthcare
- Sharesave Scheme
- 25 days annual leave + 8 bank holidays + 3 volunteering days
Responsibilities
- Lead global pricing programmes and strategic pricing projects across multiple markets and products
- Develop and implement pricing strategies to optimise value capture and commercial performance
- Design and execute advanced pricing analytics including elasticity, segmentation, and willingness-to-pay analysis
- Build and apply statistical/machine learning models to improve pricing decisions and revenue outcomes
- Drive pricing maturity through governance, frameworks, and tools
- Influence senior stakeholders on pricing decisions balancing analytics with commercial pragmatism
- Lead pricing experimentation programmes (conjoint analysis, A/B tests, pilots)
- Translate analytical findings into clear commercial recommendations for executives
- Collaborate across global, cross-functional teams to implement pricing initiatives and realise business value
- Advise product and commercial leaders to embed value-based pricing across the organisation
Key requirements
- Significant experience in Pricing, Commercial Strategy, Revenue Management, or Pricing Analytics in complex service-based organisations
- Proven track record in influencing cross-functional stakeholders within a global matrix without direct authority
- Hands-on experience with advanced analytical models (regression, clustering, segmentation)
- Knowledge of statistical/machine learning techniques (GLMs, tree-based/boosting models, regularised models, Double Machine Learning)
- Experience leading pricing transformation and increasing pricing maturity with measurable outcomes
- Experience acting as a pricing SME on global projects spanning markets, products, and units
- Deep expertise in value-based pricing, willingness-to-pay, price elasticity, and commercial pricing strategy
- Experience designing pricing research and experimentation (Conjoint, Discrete Choice Models, A/B testing, demand modelling)
- Ability to translate complex analyses into actionable revenue growth and value capture insights
- Influencing and stakeholder management
- Commercial pragmatism
- Strategic thinking and communication to executive audiences
- Pricing analytics
- Elasticity modelling
- Willingness-to-pay assessments
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