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13 дней назад

Pricing & Promotions Manager (AI)

60 000 - 65 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Pricing & Promotions Manager (AI): Turning customer, market, and commercial data into pricing and promotional recommendations with an accent on financial modelling, A/B testing, demand elasticity, and customer lifetime value. Focus on developing AI-enabled pricing models, improving forecasting capabilities, and influencing commercial decisions across senior stakeholders.

Location: London, UK; hybrid with 3 days in the office

Salary: £60,000–£65,000 per year plus benefits

Company

A growing consumer-focused organisation where pricing, promotions, customer behaviour, and commercial insight support sustainable revenue growth.

What you will do

  • Own analysis supporting pricing across membership products, joining fees, and additional revenue streams.
  • Build financial models and commercial business cases for pricing and promotional changes.
  • Evaluate campaigns through A/B testing, incrementality analysis, and performance reviews.
  • Monitor competitor pricing and market trends to identify commercial opportunities.
  • Help develop AI-enabled pricing models, forecasting tools, and analytical capabilities.
  • Work with Commercial, Marketing, Finance, Analytics, Data Science, and senior stakeholders.

Requirements

  • At least 5 years of experience in pricing, revenue management, or commercial analytics.
  • Advanced Excel skills, including building financial models and business cases from scratch.
  • Strong analytical skills and the ability to interpret complex datasets and identify commercial insight.
  • Understanding of pricing, demand elasticity, revenue, and customer lifetime value.
  • Confident communication skills for influencing technical and senior non-technical stakeholders.

Nice to have

  • Experience in subscription, retail, e-commerce, travel, hospitality, or another consumer-facing environment.
  • SQL, Power BI, pricing optimisation, statistical modelling, or experience working with Data Science teams.

Culture & Benefits

  • Hybrid working with 3 days in the London office.
  • Opportunity to influence pricing and promotional strategy rather than only report performance.
  • Cross-functional exposure across commercial, marketing, finance, analytics, and data science.
  • Regular interaction with senior stakeholders and commercial leadership.
  • Benefits included with the salary package.

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