What You’ll Do
- Technical AI governance and assurance
- Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement.
- Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms.
- Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under the EU AI Act, GDPR, LGPD and other relevant frameworks.
- Conduct risk assessments and assurance reviews of AI systems, including risks relating to bias, explainability, privacy, robustness, model drift, misuse, human oversight, transparency, and customer impact.
- Assess whether AI systems have the right documentation, controls, and evidence to support internal governance, regulatory scrutiny, and audit.
- Governance implementation
- Embed governance checkpoints, review criteria, and control requirements into product, engineering, and model development workflows.
- Design and maintain practical governance artefacts such as AI inventories, use-case classification approaches, risk assessment templates, control libraries, testing standards, and review rubrics.
- Define minimum evidence requirements for AI systems, including documentation of intended purpose, system design, data lineage, validation, performance metrics, limitations, human oversight, and post deployment monitoring.
- Audit, compliance, and regulatory readiness
- Perform technical governance reviews and audits of AI systems and supporting processes.
- Test the design and operating effectiveness of AI-related controls and identify remediation actions where gaps exist.
- Produce structured findings, risk opinions, and assurance reports for technical and non-technical stakeholders.
- Support audit and regulatory readiness by building defensible compliance narratives and evidence packs.
- Escalate material issues, control weaknesses, or ethical concerns and track remediation through to closure.
- Monitoring and reporting
- Help define and track meaningful AI governance, risk, and assurance metrics.
- Develop dashboards and reporting views that provide visibility of AI use cases, risk status, control coverage, review outcomes, incidents, and remediation progress.
- Oversee or challenge post-deployment monitoring for model performance, fairness, stability, drift, and adverse customer or business outcomes.
- Business partnership and capability building
- Work directly with data scientists, ML engineers, product teams, and business owners to help them build compliant and trustworthy AI systems without slowing innovation unnecessarily.
- Build organisational capability by translating regulatory and governance expectations into practical guidance, playbooks, and training.
- Keep stakeholders informed on emerging AI regulatory developments, assurance techniques, and good practice.
What We’re Looking For
- Extensive experience across AI/ML, model risk, technical assurance, or technical AI governance, with a meaningful part of that experience in a regulated environment.
- Preferred prior background as an ML engineer, data scientist, model validator, AI architect, or similar technical role, with subsequent and/or experience in AI governance, AI assurance, model risk, or regulatory delivery.
- Experience conducting deep reviews of AI/ML systems beyond policy conformance, including assessment of model design, validation, monitoring, and operational controls.
- Experience translating technical AI concepts into regulatory, risk, audit, or compliance language for senior stakeholders.
- Experience implementing governance processes, controls, and assurance mechanisms in real delivery environments, not just designing high-level frameworks.
- Strong working knowledge of several of the following: EU AI Act, GDPR/LGPD and automated decision-making / profiling considerations, ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, OECD or other leading responsible AI frameworks, sector or market expectations relevant to gambling, customer protection, and technology risk.
- Strong understanding of how AI and ML systems are built, evaluated, deployed, and monitored in production.
- Ability to interpret model and system documentation, architecture diagrams, data flows, validation results, and monitoring outputs.
- Familiarity with common ML approaches, LLM / generative AI patterns, model lifecycle tooling, and data/ML platforms.
- Familiarity with cloud-based AI environments such as AWS, Azure, or GCP.
Stakeholder and delivery skills
- Able to work across technical, product, risk, legal, cybersecurity, and operational teams with credibility.
- Strong written skills, including the ability to produce clear review reports, risk assessments, control evaluations, and executive-ready summaries.
- Comfortable leading workshops, challenging constructively, and driving remediation.
- Able to operate with autonomy and create structure where none exists.
- Strong judgement, pragmatism, and attention to evidence.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers