Product Owner

NICE Actimize
Israel - RaananaPosted 7 April 2026

Tech Stack

Job Description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? At NICE Actimize, we are making the world a better place by ensuring that all consumers’ financial transactions are safe. To achieve this goal, we are seeking an experienced Product Owner focused on the Analytics domain of our X‑Sight platform. This role owns the execution and iterative improvement of capabilities to achieve the analytics vision—including risk scoring, detection model development, insights frameworks, and analytical workflows that support Financial Crime and Compliance outcomes. The Analytics Product Owner will define and prioritize requirements that elevate decisioning accuracy, expand analytical coverage, increase explainability, and improve model and rule operationalization. You will work closely with Data Science, Engineering, Cloud Ops, Customer Success, and cross‑product stakeholders to deliver reliable, scalable, and innovative analytics capabilities across our multi‑tenant SaaS platform—ensuring they meet the expectations of a modern FCC analytics ecosystem. How will you make an impact? Define and refine the roadmap and backlog for the Analytics domain. Translate market needs and requirements into clear epics, features, and user stories. Partner with Data Science and Engineering to design and deliver analytics capabilities. Enhance model lifecycle management, versioning, and monitoring workflows. Collaborate with Cloud Ops to ensure scalability, cost‑efficiency, and reliability. Establish KPIs, monitoring signals, and quality checks for analytics reliability. Work with Support and SMEs to reduce friction and improve analytical clarity. Contribute to documentation, demos, and enablement for analytics enhancements. Ensure alignment with multi‑tenant SaaS architecture and governance models. Collaborate cross‑functionally to deliver new analytic innovations. Have you got what it takes? 5+ years of product ownership experience in SaaS or analytics products. Technical background in CS, Engineering, or Data Science. Experience with multi‑tenant SaaS. Strong understanding of analytics frameworks and ML operationalization. Ability to navigate complex technical discussions. Excellent communication and documentation skills. You will have an advantage if you also have: Experience with financial crime analytics or compliance solutions. Knowledge of model validation, explainability, or governance frameworks. Exposure to big‑data processing frameworks (Spark, Flink, etc.). What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. About NICE Actimize: NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying ... (truncated, view full listing at source)
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