• Execute and support quarterly access recertification campaigns for global applications, including tracking metrics, following up with stakeholders, and monitoring remediation actions. • Analyze identity and access data to identify anomalies, inactive accounts, ownership gaps, and other risk indicators. • Perform onboarding of new applications and groups to the corporate Identity Governance platform, working with Application Owners and certification owners. • Develop and maintain process documentation and evidence, and support audits and control testing. • Partner with CISO teams, Application Owners, and IT Operations to resolve identity governance-related issues.

• Work with casino & payment risk alerts in real time; • Detect fraud and identify suspicious player behavior; • Analyze transactions, payment methods, and risk signals; • Resolve risk cases based on internal procedures; • Contribute to improving risk processes and operations; • Work in rotating shifts: 06:00–14:00 or 14:00–22:00 (CET), on a 5/2 schedule; • Collaborate with Risk, Payments, and other teams.

• Work with casino & payment risk alerts in real time; • Detect fraud and identify suspicious player behavior; • Analyze transactions, payment methods, and risk signals; • Resolve risk cases based on internal procedures; • Contribute to improving risk processes and operations; • Work in rotating shifts: 06:00–14:00 or 14:00–22:00 (CET), on a 5/2 schedule; • Collaborate with Risk, Payments, and other teams.

• Develop and execute Mariner's enterprise-wide data strategy using a future-back perspective aligned with the firm's long-term business and technology objectives. • Define the enterprise data operating model, including governance, ownership, stewardship, integration, access, protection, and lifecycle management. • Evaluate the current enterprise data landscape, identifying opportunities to improve data quality, governance, interoperability, scalability, and business value. • Translate long-term strategy into a practical, phased roadmap with measurable milestones and business outcomes. • Consult on the evaluation and onboarding of new platforms and vendors, establishing enterprise standards for data integration, ownership, governance, and interoperability before implementation. • Establish enterprise standards for metadata, lineage, stewardship, classification, ownership, quality, access controls, and accountability. • Define enterprise data domains, semantic standards, reusable data products, and common business definitions that improve consistency across the organization. • Develop governance principles supporting both human and AI-enabled interactions with enterprise data. • Ensure enterprise data is trusted, discoverable, auditable, and appropriately governed for operational, analytical, regulatory, and AI-enabled use cases. • Establish measurable standards for data quality, completeness, consistency, timeliness, and fitness for purpose. • Define enterprise standards for data integration, interoperability, orchestration, and information architecture across platforms and business functions. • Guide buy-versus-build decisions for enterprise data platforms, governance capabilities, integration technologies, metadata management, and orchestration tools. • Develop reference architectures that support AI readiness, operational scalability, enterprise analytics, and future-state intelligence capabilities. • Ensure enterprise systems, workflows, and integrations support the consistent, secure, and governed movement of information across the organization. • Define the enterprise data strategy required to support responsible AI adoption, automation, digital workers, and agentic workflows. • Establish governance models for trusted AI-enabled data access, permissions, semantic understanding, lineage, explainability, and auditability. • Partner with Innovation, Technology, Legal, Compliance, Information Security, and business leadership to ensure AI initiatives are built upon trusted, governed, and secure data foundations. • Monitor emerging technologies and industry trends to ensure Mariner's enterprise data strategy remains future-ready. • Partner closely with Legal, Compliance, Risk, Audit, and Information Security to ensure enterprise data practices meet applicable regulatory, privacy, cybersecurity, supervision, and records management requirements. • Incorporate regulatory and governance considerations into enterprise data strategy from the outset rather than as downstream review activities. • Establish policies governing data retention, privacy, access management, PII protection, auditability, and appropriate data usage across internal and external stakeholders. • Build strong partnerships across Technology, Operations, Innovation, Business Intelligence, Legal, Compliance, Risk, Information Security, and business leadership. • Recommend organizational structures, governance forums, stewardship models, operating rhythms, and decision-rights frameworks that strengthen enterprise accountability. • Lead through influence, credibility, and collaboration in a highly matrixed environment. • Mentor enterprise architects, technical leaders, and governance stakeholders while fostering a culture that treats data as a strategic enterprise asset.