Global Financial Crimes Product Manager

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• →Develops the technical platform strategy that ensures that functionality of data used for analytics, detection models, and investigations are deployed effectively, maintained robustly and continuously improved to meet evolving business and regulatory needs.
• →Develops, refines, and maintains the product roadmap to Maximize Value
• →Executes and delivers through agile methodology with clear backlog and prioritization methodology
• →Gathers and documents actionable technical requirements for complex projects
• →Analyzes data and synthesizes complex insights that identifies strategic improvements
• →Communicates and influences key to gather buy-in on roadmap, risks, and technical decisions based on business needs and platform performance
• →Serves as a subject matter expertise to guide key decisions and drive innovation within the area
• →Owns and manages end-to-end risk for the product through preventive processes, detective monitoring, and effective remediation to reduce reoccurrence
• →Acts as Subject Matter Expert (SME) for data platforms towards engaging with business users and technology partners to create a product roadmap, design robust solutions, and develop quality increments for release to the production environment as part of the Software/Service Delivery Lifecycle (SDLC).

• 7+ years of experience in data analysis, product management, and/or risk technology
• Strong analytical and problem-solving mindset, with an emphasis on sustainability, efficiency, and control robustness.
• Ability to collaborate effectively with cross-functional teams across the Software/Service Delivery Lifecycle (SDLC) and in a Scalable Agile framework.
• Experience or working knowledge of model lifecycle management, including deployment, validation, calibration, and performance monitoring.
• Experience working in data engineering and/or managing big data platforms (i.e., data warehouses, data lakes) including system integration work to move data between platforms and building data structures for expected consumption patterns.
• Experience or working knowledge of advanced statistical and modeling techniques such as artificial intelligence and machine learning.
• Experience using query languages for extracting and analyzing data in a database, data warehouse, or data lake such as SQL or PySpark.
• Experience with data warehouse or data lake concepts such as CRUD privileges (Create, Read, Update, Delete), indexing, partitioning, logical and materialized views, or optimization techniques.
• Familiarity with data management and governance frameworks, including metadata management, data classification, data access management, data quality management, data lineage, data stewardship, master and reference data management, data lifecycle and retention management, privacy controls, and regulatory compliance.
• Experience performing data quality assessments.
• Experience with analytics infrastructure in a financial institution or technology environment.  
• Familiarity or exposure to the concept and execution of a Data Domain.
• Project management and strategic planning skills, with the ability to translate business goals into technical deliverables.
• Exceptional communication and documentation skills, capable of bridging technical and non-technical audiences.
• Familiarity or exposure to risk management and model governance frameworks (e.g., SR 11-7, OCC 2011-12).

• Bachelor's Degree in related field
• Experience in financial services and/or a related government entity
• Certified Anti-Money Laundering Specialist (CAMS)

• Critical Thinking
• Monitoring, Surveillance, and Testing
• Regulatory Compliance
• Risk Management
• Coaching
• Issue Management
• Policies, Procedures, and Guidelines Management
• Strategy Planning and Development
• Written Communications
• External Resource Management
• Reporting
• Talent Development