ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Working closely with Fraud Operations, IT, Digital, Security, POS, and external technology partners (e.g. Edvent AI), the Technology Owner ensures that fraud technology solutions are designed, integrated, governed, and operated according to enterprise standards while remaining aligned with business objectives.
• Technology Strategy & Solution Ownership.
• Own the overall technology roadmap for fraud detection, investigation, and operational platforms.
• Define the technical architecture for AI-powered fraud detection systems, investigation portals, data platforms, and supporting operational tools.
• Evaluate and introduce new technologies that improve fraud detection accuracy, investigation efficiency, and operational scalability.
• Translate business requirements from Fraud Operations into technical solution designs and implementation roadmaps.
• AI Platform & Vendor Management.
• Act as the technology owner for externally developed AI solutions, including computer vision, audio analytics, and machine learning platforms.
• Review technical designs, deployment plans, release readiness, and production support activities delivered by external vendors.
• Coordinate acceptance testing, technical governance, and ongoing operational improvements.
• Monitor vendor performance, cloud resource utilization, and outsourced technology costs.
• Cloud & Production Architecture.
• Own production architecture for fraud technology solutions deployed on Google Cloud Platform (GCP).
• environment separation (Development, Testing, Production).
• security architecture.
• IAM and access control.
• service account design.
• monitoring and observability.
• deployment architecture.
• operational resilience.
• Coordinate with Infrastructure, Security, and Platform teams to ensure production systems comply with enterprise technology standards.
• Data Platform Ownership.
• Define fraud data architecture spanning CCTV, POS, HR, investigation data, video metadata, AI inference outputs, and operational logs.
• Work with internal application teams (e.g. POS, CCTV, HR, Digital) to establish data specifications, business identifiers, and integration standards that enable reliable downstream analytics through proper data modeling and PK/FK relationships.
• Ensure fraud analytical datasets are trusted, reusable, and scalable rather than relying on fragile operational workarounds.
• Oversee the design and evolution of business-ready datasets supporting fraud investigations, dashboards, operational reporting, and AI models.
• Fraud Technology Operations.
• AI inference services.
• investigation portals.
• data pipelines.
• operational monitoring.
• workflow automation.
• evidence management platforms.
• Drive continuous improvement of operational tooling to increase investigator productivity and reduce manual effort.
• Governance & Data Management.
• Support the Fraud Director in managing fraud-related information assets including CCTV footage, video metadata, investigation records, and AI-generated outputs.
• Coordinate data access, sharing, retention, archival, and lifecycle management with centralized IT and governance teams.
• Ensure fraud technology solutions comply with enterprise security, privacy, and governance policies.
• Cross-Functional Leadership.
• Act as the primary technology representative for the Fraud Department when working with IT, Digital, Infrastructure, Security, Data Platform, and external technology vendors.
• Align technical implementation with business priorities while balancing operational practicality, scalability, maintainability, and long-term technology strategy.
• Provide technical guidance during solution design, procurement, implementation, and production operations.
• Why This Role Exists.
• Fraud detection is fundamentally a business capability enabled by technology. Success depends not only on AI models, but on robust system architecture, trusted data, secure cloud operations, and close alignment between fraud investigators and technology teams.
• This role exists within the Fraud Department rather than a centralized technology function to ensure technology decisions are driven by a deep understanding of fraud operations while maintaining enterprise engineering standards. By owning the end-to-end technology landscape, the Technology Owner enables the department to scale AI-driven fraud detection, improve investigation efficiency, and deliver sustainable long-term technology capabilities.