Commercial Performance Senior Manager

Role overview

Commercial Performance Senior Manager for BetMGM within LeoVegas Group, joining the RoW analytics function. The role combines deep analytics with consultancy-level strategic advisory to understand, optimize, and grow how the business makes money.

Responsibilities

• Lead and mentor Commercial Analysts (guidance and support).
• Act as a strategic partner to functional leaders across Marketing, Product, CRM, Pricing, Risk, Operations, and Finance to find growth opportunities and operational efficiencies.
• Own accountability (with the regional Performance Director) for UK portfolio performance reporting to local leadership, Exco, and the MGM board.
• Analyse end-to-end revenue drivers across acquisition, retention, monetisation, and customer lifetime value (CLV).
• Drive consultancy-style problem solving: scoping, prioritising projects, structuring analysis, and delivering clear recommendations.
• Produce actionable performance insights that influence revenue, customer behaviour, and profitability.
• Support Performance Directors in embedding data-driven insights into regular performance conversations.
• Partner with finance/commercial teams to improve revenue forecasting, campaign ROI, and P&L modelling.
• Lead cross-functional performance reviews (weekly, monthly, quarterly).
• Collaborate with central teams to maintain a world-class analytics framework spanning transactional, market, competitor, and customer data.
• Promote a data-driven culture via knowledge sharing, mentoring, and analytical best practices.

Requirements

• Proven experience in commercial analytics, revenue optimisation, or strategy within online gambling/gaming or a similar fast-paced digital sector.
• At least 5 years in a commercial leadership role with consultancy-style problem solving, hypothesis-led thinking, project prioritisation, and strong stakeholder engagement.
• Strong commercial acumen and understanding of digital revenue/profit drivers.
• Experience across multiple analytics areas: performance, product, operations, customer, and commercial.
• Proficiency in SQL and at least one of: Python or R; plus Power BI or Tableau.
• Familiarity with modern cloud data platforms such as Snowflake or Databricks.
• Excellent communication skills to present complex insights to senior stakeholders.
• Highly collaborative and comfortable working cross-functionally.

Examples of problem areas

• Generosity Optimisation & Strategy
• Pricing Strategy (Sports & Casino)
• Casino Optimisation
• Commercial Deal Analysis
• Customer Risk Profiling & Optimisation

Working model

• Hybrid: 3 days per week in the office with flexibility for 2 days working from home.