Senior Product Owner, Dublin 17

Senior Product Owner

223102

Desired skills:
Senior, Product Owner, Dublin, Payments

Senior Product Owner | Dublin | Hybrid | Permanent

Hiring on behalf of a leading global organisation, seeking an experienced Senior Product Owner to take ownership of a complex, enterprise-grade compliance and risk management platform.

Responsibilities

Decompose high-level features into user stories, acceptance criteria, and prioritised backlog itemsDrive backlog grooming, sprint planning, and manage priorities and dependencies across multiple engineering podsCollaborate with engineering, data science, and solutions teams to deliver high-quality platform features including real-time and batch pipelines, detection analytics, and alert/case managementParticipate in design reviews, technical estimation, and ensure non-functional requirements are in scopeSupport model calibration, back-testing, threshold tuning, and monitoring of detection performance metricsEnsure explainability, lineage, and model transparency across detection and scoring modulesDefine test cases, regression test suites, and oversee UAT and release validationMonitor key product metrics and iterate to optimise performanceManage dependencies with external data feeds and integrated systemsProduce and maintain product documentation, user guides, and runbooksSupport internal teams including sales, services, and support

Requirements

6+ years' experience in product ownership, business analysis, or domain roles4+ years working within AML, financial crime, risk, or compliance products or operationsDeep understanding of transaction monitoring, case management flows, and regulatory expectationsExperience with data processing and analytics - pipelines, feature engineering, model scoring, streaming vs batchStrong Agile/Scrum practitioner - user stories, acceptance criteria, sprint ceremoniesComfortable managing dependencies across multiple engineering teamsStrong stakeholder management across compliance, operations, engineering, and client teamsExcellent communication skills across technical and non-technical audiencesCAMS or equivalent certification preferredDegree in Computer Science, Engineering, Data Science, or equivalent

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