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AI AML Product Manager

NICE
CompanyNICE
CategoryData & Analytics
LocationIsrael - Raanana
RemoteOn-site (inferred)
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted14 Jun 2026
Last verified7 Aug 2026
SourceEmployer ATS (greenhouse)
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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  t he   r ole   all about?   We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers. This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position. How will you make an impact?      Product Strategy and Roadmap Development: Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives. Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation. Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility. Product Planning and Execution: Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications. Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards. Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring. AI and Analytics Expertise: Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation. Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions. Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings. Customer Engagement and Feedback: Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback. Present product concepts and solutions to customers, aligning product functionality with their needs. Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios. Stakeholder Management: Build strong relationships with internal stakeholders, including executives, sales, professional services, and customer success teams, to ensure alignment and support for product initiatives. Collaborate with industry experts and partners to validate product concepts and strengthen market positioning. Performance Tracking and Optimization: Define key performance indicators (KPIs) and metrics to measure the success of AI and analytics products. Analyze product performance data, customer feedback, and market trends to identify opportunities for optimization and growth. Iterate on product features and functionalities based on insights gained from data analysis and feedback loops.   Have you got what it takes?      Bachelor’s or advanced degree in computer science, engineering, data s