Sr Product Manager

Key Responsibilities

• Own product vision, strategy, roadmap, and feature prioritization for multiple products and initiatives.
• Lead modernization efforts focused on improving data accessibility, intelligence, efficiency, and business outcomes.
• Develop a deep understanding of business processes, data flows, and system dependencies.
• Partner with stakeholders across Product, Engineering, Data, Operations, and Business teams to identify pain points and define solutions.
• Manage and prioritize product backlogs, balancing business needs, technical requirements, and customer expectations.
• Analyze data from multiple sources to identify trends, opportunities, and actionable insights.
• Conduct research, experiments, and discovery activities to validate assumptions and uncover additional user value.
• Create product requirements, business cases, and strategic documentation to support product development.
• Leverage AI-powered tools such as Microsoft Copilot, Kiro, or similar technologies to improve productivity, analysis, and solution design.

Required Experience & Qualifications

• 7+ years of Product Management experience, including ownership of complex products or platforms.
• Strong data analysis and problem-solving capabilities with a proven ability to connect insights across multiple systems and datasets.
• Experience building product strategies and roadmaps that align with business objectives.
• Ability to understand complex business processes and translate them into scalable product solutions.
• Strong stakeholder management and cross-functional leadership skills.
• Experience working with data-intensive applications, platforms, or ecosystems.
• Excellent communication, presentation, and influencing skills.

Preferred Qualifications

• Experience within Financial Services, Regulatory Technology, Compliance, Risk, Fraud, Investigations, or Surveillance environments.
• Experience working with large-scale data platforms, transaction data, or regulatory reporting systems.
• Familiarity with Graph Technology, Graph Databases, Knowledge Graphs, or relationship-mapping solutions.
• Experience utilizing Generative AI tools in product management workflows.
• Background supporting modernization, data transformation, or enterprise-scale technology initiatives.