FDJ UNITED

Product Manager

• Define and own the long-term product vision for our Sportsbook platform across markets and our one internal sportsbook platform strategy
• Translate customer insights, market trends, and competitive intelligence into a compelling product strategy
• Ensure the product supports commercial performance targets (engagement, retention, revenue)
• Build and prioritise a clear product roadmap balancing short-term delivery and long-term transformation
• Oversee product lifecycle from ideation to launch, ensuring best-in-class execution
• Secure cross-functional alignment and facilitate decision-making across stakeholders
• Produce high-quality product requirements, documentation, and specifications for Engineering
• Monitor release performance and drive continuous optimisation based on data, KPIs, and feedback
• Collaborate with Trading teams on pricing capabilities and operational workflows
• Ensure full compliance with all regulatory obligations across jurisdictions
• Own Sportsbook product KPIs (NGR, ARPU, retention, engagement, margins, latency)
• Lead, mentor, and grow a team of Product Managers, Product Owners, UX, and analysts.

Director of Sportsbook Product

Director

• Define and own a unified product vision across all verticals
• Drive product differentiation and innovation across UX, features, personnalisation, and content
• Own and prioritise a global product roadmap across all verticals
• Ensure high-quality product requirements and specifications
• Manage key topics: payments, KYC, responsible gaming, fraud/AML integration
• Deliver a seamless, best-in-class customer journey across all products

Senior Product Director

Content Marketing Manager

• Improve the clarity, usability, and quality of content across FDJ United’s 9 brands
• Guide and mentor other Content Designers
• Engage with stakeholders to understand business needs and promote user-centered design
• Collaborate with Product Designers and UX Researchers to enhance user journeys
• Organize user research activities and coordinate insight gathering
• Write, edit, test, and improve content across brands

Senior Content Designer

• Manage the central web platform's backlog and provide the business with the right tools
• Contribute to maximum agile flow of delivery, efficiency and productivity
• Liaise with business delivery teams and key stakeholders to secure efficient management of two critical backlogs
• Support the teams by participating in scrum ceremonies
• Track the effectiveness and productivity of the teams against expected deliveries
• Engage close communication with relevant stakeholders on business initiatives

Product Owner

Onboarding Specialist

• Collaborate with engineering teams to initiate and support product development efforts
• Gather and analyze data from various sources to assess product performance
• Maintain up-to-date documentation, including product changes and meeting notes
• Assist in gathering user feedback through channels such as surveys and usability studies
• Participate in user acceptance testing (UAT) and support the creation of test cases
• Document existing processes and identify areas for improvement
• Actively participate in Agile ceremonies and work cross-functionally with teams

Product Manager – Customer Onboarding, Communications

Product Designer

• Define and own the overarching UX/UI vision and design philosophy across all products
• Act as the single point of accountability for cross-product experience quality
• Govern the company-wide design systems and component libraries
• Own the relationship between brand identity and product experience
• Define and embed UX standards, best practices, and governance processes across all product-aligned design teams
• Map and own the end-to-end customer experience across products
• Lead, develop, and provide strategic direction to the distributed UX community across product/engineering teams

Head of UX/UI Strategy

Data Engineer

• Develop and maintain robust and efficient data solutions and products including data transformation, data modelling, and reporting on both on-premises and cloud environments
• Build modern data lake/lakehouse architectures that support scalable, flexible data processing
• Enhance platform integration by leveraging domain events to enable more efficient and real-time data processing
• Champion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences
• Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and data accessibility
• Enhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability
• Collaborate with cross-functional teams to translate business requirements into technical solutions, documenting them as GAPs and aligning them with Architects
• Facilitate data discovery and enhance data management processes using platforms like Open Metadata
• Ensure KPIs and documentation remain accurate and up to date
• Support data quality and compliance standards across the organization
• Initiate and experiment with new ideas and approaches that support the A&I department's strategy

Senior Data Engineer

AI Engineer

• Design and deliver hands-on technical workshops for Tech teams — the kind where participants build and ship working AI agents themselves, not watch someone else do it
• Coach engineers and domain experts through identifying real use cases in their function, scoping them rigorously, and building their first working solutions on KAIT
• Run structured AI opportunity audits within Tech teams: helping teams assess which use cases are quick wins they can deliver themselves, which need Architect-level guidance, and which are not worth pursuing
• Create technical training content covering topics such as RAG (connecting AI to internal knowledge bases), AI agent design, prompt engineering, and API integration — written for a Tech audience, grounded in real OBG scenarios
• Provide floor support during workshop sessions, including live debugging and troubleshooting — guiding participants through solving problems, not solving for them
• Ensure security, data governance, and compliance are embedded into every use case from the start — not treated as a gate at the end
• Upskill teams on OBG’s Technology Release Process so they can self-serve: preparing documentation, completing governance checklists, and meeting production standards without needing hand-holding
• Identify gaps in existing processes, documentation, or governance frameworks and flag them to the relevant owners
• Coach Tech Innovators (domain experts building use cases) through the full lifecycle: from identifying where AI adds genuine value, through scoping and prototyping, to handing off complex builds for Architect-level support where needed

AI Enablement Lead

General

• Manage prioritized technical initiatives end-to-end—from evaluation through delivery—ensuring continuous monitoring and tracking in partnership with the Technical business lead
• Report on progress to stakeholders to ensure clear communication and commitment to projects vision and strategy and driven with a business mind-set during execution.
• Remove blockers and manage critical path activities while implementing iterative delivery approaches to realize value early and maintain project momentum
• Manage complexity in mitigating risks and solving issues within the project on behalf of the technical owner
• Manage change along the project to ensure a smooth transition to the future state of the project.

Delivery Lead – PAM

• Be accountable for the execution of the AI strategy in PAM, driving outcomes, adoption and continuous improvement
• Own the AI tool offering for PAM, ensuring the needs of the organisation are understood, documented and met with the right solutions
• Set goals and KPIs for AI usage and outcomes within PAM, tracking data on costs, adoption rates and productivity improvements
• Act as the primary point of contact for all AI-related questions and suggestions — both within PAM and across other Tech departments — driving common agendas and joint evaluations
• Build and enable a community of internal AI ambassadors and technical experts, fostering an AI-first culture that inspires, trains and supports all team members
• Run trials and assess new tools, maintaining market awareness and distinguishing between hype and realisable value
• Own a PAM catalogue of approved and recommended MCPs and Skills, keeping it current and relevant
• Safeguard AI tool usage in collaboration with Group Security, maintaining a healthy balance between productivity and security
• Organise Geek Sessions and other training initiatives to build AI capability across the department
• Collaborate cross-functionally with other Tech departments to share lessons learned and run joint efforts