We’re the #01 global leader in iGaming recruitment. Our team of 80+ recruiters deliver a full suite of recruitment services and enterprise talent solutions. Since 2001 we’ve placed 10,000+ candidates in specialist iGaming jobs within the online gambling and sports betting space. As part of The Conexus Group, our global networks within iGaming are unrivalled. Recruiting or expanding? Let’s talk talent!
One of our fastest growing customers is looking for a Head of AI to work on a fully remote basis.
We are seeking a Head of AI to build and lead the development of AI systems that take on high-volume, repetitive decision-making, enabling our teams to focus on strategic and creative work.
You will own the AI agenda end-to-end, from team build-out to the design, deployment and governance of decisioning systems, along with the supporting data and evaluation infrastructure. Working closely with specialist teams, you’ll ensure systems reflect real expertise and deliver measurable business impact.
Key responsibilities
Design and deploy AI agents and LLM-based systems to automate specialist judgement tasks, optimising for cost, quality, latency and ROI
Build scalable data, retrieval and evaluation infrastructure to ensure decisions are explainable, testable and continuously improving
Partner with business teams to identify high-impact use cases and deliver production-ready solutions that enhance output
Establish robust data governance and responsible AI practices, including human-in-the-loop controls and regulatory compliance
Report on performance, decision quality and business impact to senior stakeholders
Requirements
5+ years’ experience in AI, data science or machine learning, including leadership of AI strategy and delivery at scale
Advanced degree in Computer Science, AI, Data Science or related field
Hands-on expertise in ML, generative AI, LLMs and decisioning systems in production environments
Strong background in BI, marketing analytics and linking AI initiatives to commercial KPIs
Excellent stakeholder communication skills
Strategic, pragmatic and delivery-focused mindset
Experience applying AI in iGaming is essential
If you’re a hands-on AI leader excited to build an AI function from the ground up in a fast-paced environment, we’d love to hear from you.
They are negotiable on total compensation package.
Fast-growing iGaming company scaling rapidly in the US, building a high-performance social gaming platform and expanding into new verticals.
The Role
This is a Director-level role combining technical depth with commercial impact.
You will lead the insight function, initially as a hands-on individual contributor, using data to drive revenue, player behaviour, and business performance within the online casino vertical.
The company already has a solid data foundation in place (real-time data and tools like Hex) — your role will be to build on this and evolve the insight function.
We are looking for someone with experience in online casino and the ability to combine strong technical expertise with commercial thinking.
Key Highlights
Background in Data Science / Analytics / BI, with exposure to ML / AI / automation
Hands-on role initially — working directly with data, queries, and analysis
Lead the insight function from day one, with scope to define the roadmap and build and scale the team.
Strong technical + commercial focus (revenue, retention, player behaviour)
Key Responsibilities
Apply data science and analytics to identify revenue drivers and growth opportunities
Act as a bridge between data and commercial teams
Work hands-on with data (SQL, analysis, modeling)
Translate complex data into clear, actionable business decisions
Partner with commercial teams (CRM, acquisition, VIP, casino)
Define the data/insight roadmap aligned with business needs
Explore and implement ML / AI-driven approaches where relevant
We're looking for a BI Analyst who already knows this industry. You've come up through an operator's data team or another affiliate. You know what NDC, NGR, and retention curves mean in practice. And you're ready for a role where you can do more than service requests.
What You'll Be Doing
Turning data into decisions. You'll work directly with our data engineers on a Microsoft Fabric / Azure stack, pulling insight from affiliate, CRM, and web data that actually shapes how we spend, where we focus, and what we build next.
Owning the numbers that matter. Player behaviour, channel performance, operator programme economics, content effectiveness — you'll know this data better than anyone, and you'll be the person the business turns to when it needs to understand what's happening and why.
Building the reporting layer. You'll design and maintain dashboards and reports that people actually use — clear, accurate, and built for the decisions they're supporting, not for the sake of looking good.
Working on AI tooling. We're building proprietary AI capability into how we acquire and understand audiences. You'll work with product and engineering to develop and interrogate that tooling — finding efficiencies and surfacing insights that wouldn't be visible any other way.
Keeping the data honest. You'll own data quality across reporting — tracing discrepancies, maintaining consistency, and making sure the numbers we act on are numbers we can trust.
Being genuinely useful to the business. Marketing, Commercial, Operations — you'll work across all of them, translating what the data says into language and recommendations that land with people who aren't analysts.
What You Need
Industry experience — operator, affiliate, or adjacent. You understand how this business model works, not just how data works.
Strong SQL. Complex queries, not just lookups.
Hands-on experience with Power BI or equivalent, and comfort working within a cloud data stack (Azure / Fabric / Synapse / Data Factory or similar).
A track record of delivering insight that changed something — a decision, a strategy, a spend allocation.
Clear communication. You can write a slide or talk through findings with a commercial director without losing either of them.
The drive to work things out yourself. We'll give you the stack, the access, and the context — the curiosity has to be yours.
What Would Make You Stand Out
Python or R for statistical analysis or modelling.
Experience with marketing analytics tools — Google Analytics, GA4, attribution platforms.
Familiarity with A/B testing or predictive modelling in a commercial context.
Agile ways of working — Jira, Confluence, sprint cadences.
The Package
£50,000 base + bonus scheme
Hybrid working — remote Wednesdays and Fridays
25 days holiday
Vitality Private Healthcare (on completion of probation)
Milton Keynes parking permit (on completion of probation)