Gareth Mulley.

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Gareth Mulley

Gareth Mulley.

Head of Practice - Marketing

​I have 16 years of experience in recruitment, specialising in Marketing roles at all levels from CMO to Marketing executive. I run the UK marketing team across Pentasia and Head-count which allows me to find the best roles for my candidates and the best talent for my clients.

The marketing function has changed so much in the last 16 years and it has been exciting to keep abreast of all the new marketing channels, technologies and tools marketeers now have at their disposal. I love talking to passionate marketeers in any field so please get in touch.

Latest Gareth Mulley Jobs.

Sportsbook Director

Posted today
  • Costa Rica
  • $120,000 to $160,000 pa

I am looking for a sportsbook director to lead the sportsbook division for an international I-Gaming operator. The role is based in San Jose , Costa Rica so you need to be able to be on the ground there. Operational Leadership: Oversee the entire sports betting vertical, including both the commercial and operational aspects. This includes working with internal teams and external partners to ensure optimal performance across all sports offerings. Collaboration with Trading Team: Partner closely with the Director of Trading to manage sports lines, prop betting, and live betting. Ensure the offshore lines and three external third-party suppliers are aligned with business goals and deliver the best possible betting experiences. Sports Marketing Leadership: Brief and collaborate with the marketing and campaign teams to ensure that all sporting events are strategically covered with the best promotions, odds, and campaigns across all marketing channels. Guide the marketing teams on key sporting moments throughout the year, ensuring consistent communication and delivery of sports campaigns that resonate with customers. P&L and KPI Accountability: Take full ownership of the sports betting P&L, driving profitability while managing critical KPIs, including sports actives and Gross Gaming Revenue (GGR). Ensure the sportsbook achieves its revenue targets and continually grows its active sports user base through innovative product offerings and promotional strategies. If this sounds like your next position then please feel free to get in touch

VIP Manager - Belgium

Posted 28 days ago
  • Brussels
  • €60,000 to €65,000 pa

Our client a Tier one operator across Europe is looking for a VIP Manager to join its existing team. You will ideally have experience in handling VIP customers and building relationships at this level. You will bring new ideas around customer segmentation and incentives and you will want to be part of a industry leading VIP proposition. If you have knowledge of the Belgian market and understand the customer behaviour and competitor landscape then please get in touch 

Marketing Science and Business Intelligence Manager

Posted 35 days ago
  • Philadelphia
  • $100,000pa

Our client in Philadelphia is seeking someone who has a natural curiosity and is driven by a passion for uncovering insights that drive business decisions. The ideal candidate will be self-motivated and possess exceptional critical thinking skills, keen attention to detail, and have a relentless desire to continuously learn and grow. In this role, you will work closely with stakeholders while analyzing complex data sets and developing actionable insights.  You will also partner with the VP of Data & Growth to help create a data driven culture across the company. As a Marketing Scientist, you will own media mix modeling and attribution to optimize marketing spend and effectiveness. You will stay up to date with industry best practices, especially as data privacy evolves, ensuring compliance and innovation in Apple App Tracking & Transparency (ATT) and mobile attribution. Additionally, you will provide data-driven recommendations to maximize Return on Ad Spend (ROAS) and collaborate with CRM teams to maximize player Lifetime Value (LTV) and minimize customer churn.   Essential Duties & Responsibilities:   Lead and own weekly and monthly business review presentations, delivering detailed analysis of business performance across marketing, operations & product. As well as providing actionable insights to drive strategic decision-making. Develop, implement, and optimize multi-touch attribution models to accurately measure the effectiveness of various marketing channels. Design and execute media mix modeling to inform budget allocation and maximize ROI across all marketing channels. Analyze user data and build and/or maintain various models such as player cohorting, lifetime value, and others. Collaborate with marketing, operations, and product teams to understand business objectives and translate them into data-driven strategies. Analyze large datasets to uncover trends, patterns, and insights that drive strategic marketing decisions. Create and maintain dashboards and reports to monitor performance and provide actionable insights to stakeholders. Stay updated with the latest trends and advancements in data science, analytics, and marketing technology. Ensure data quality and integrity by establishing and enforcing best practices for data collection, processing, and analysis. Present findings and recommendations to senior leadership and other stakeholders in a clear and concise manner. Drive the development and implementation of new predictive models and machine learning algorithms to enhance marketing efforts.   Education, Qualifications & Experience:   Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Marketing, or a related field. Minimum of 3 years of experience in analytics or data science role. Strong proficiency in working with data warehouses with high degree of comfort writing SQL Strong proficiency in statistical analysis, data mining, and predictive modeling techniques (Python or R). Experience with data visualization tools such as Tableau, Power BI, or similar. Excellent analytical, problem-solving, and critical-thinking skills. Experience with digital marketing platforms (Google Analytics, Facebook Ads, etc.) and understanding of various marketing channels (search, display, social, TV, OOH). Preferred Experience: Experience using machine learning techniques to build eLTV models. Experience working for a mobile app or Direct to Consumer brand. Familiarity and experience with attribution reporting in a post Apple’s ATT ecosystem. If this sounds like you and you can work 2 days a week in the central Philadelphia office please get in touch.