Pricing Manager

Overview

In this role you will lead global pricing programmes and shape pricing strategy across markets and products. You’ll combine analytics with commercial judgment to drive pricing maturity and measurable business outcomes. You will 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, data-driven role in a complex matrix environment with a clear focus on value-based pricing and revenue growth.

Pay / Benefits

• Hybrid working
• Discretionary bonus
• Pension
• Bupa healthcare
• Sharesave scheme
• 25 days annual leave + 8 bank holidays + 3 volunteering days

Responsibilities

• Lead global pricing programmes and act as pricing SME across a broad product portfolio
• Develop and implement pricing strategies to optimise value capture and commercial performance
• Design advanced pricing analytics: price optimisation, segmentation, elasticity, willingness-to-pay, scenario modelling
• Build and apply statistical and machine learning models to improve pricing decisions and revenue outcomes
• Drive pricing maturity through change initiatives, governance, and best practices
• Influence senior stakeholders on pricing decisions balancing analytics with commercial pragmatism
• Lead pricing experimentation: conjoint analysis, A/B testing, pilots, market studies
• Translate analytical findings into clear commercial recommendations for executives
• Collaborate across global, cross-functional teams to implement pricing initiatives
• Advise commercial and product leaders to embed value-based pricing throughout the organisation

Key requirements

• Significant experience in Pricing, Commercial Strategy, Revenue Management, or Pricing Analytics in large, complex service-based organisations
• Proven track record in a global matrix environment influencing cross-functional stakeholders
• Hands-on experience with advanced analytical models (regression, clustering, segmentation)
• Strong knowledge of statistical and machine learning techniques (GLMs, tree-based/boosting models, regularised models, Double Machine Learning)
• Experience leading pricing transformation and change programmes
• Expertise in value-based pricing, willingness-to-pay, and price elasticity
• Experience designing pricing research and experimentation (Conjoint Analysis, DCM, A/B testing, demand modelling)
• Ability to translate analytics into actionable commercial recommendations driving revenue and margin
• Influencing and stakeholder management
• Commercial pragmatism
• Strategic thinking
• Pricing analytics
• Price optimisation
• Elasticity modelling

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