Fraud & AI Analytics Product Manager

Fraud & AI Analytics Product Manager

Requirements

• Bachelor’s or advanced degree in computer science, engineering, data science, or related field.
• 3+ years of previous experience in Fraud products or financial crime detection solutions.
• Proven track record of 7+ years in product management, with a focus on SaaS / machine learning, or analytics products.
• Proven experience working directly with customers, understanding their needs, and presenting product solutions to address those needs.
• Strong knowledge of fraud prevention, detection techniques, and financial institution challenges.
• Experience working with cross-functional teams in an agile development environment.
• Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.
• Analytical mindset with proficiency in data analysis and problem-solving.
• Demonstrated leadership abilities with a passion for driving innovation and delivering impactful products.

Responsibilities

• Lead the development of the AI and analytics Fraud 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.
• 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.
• 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.
• 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 fraud scenarios.
• 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.
• 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.

Preferred Qualifications

• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.