Global Financial Crimes Product Manager

Bank of America•Charlotte, NC

5d•Onsite

About The Position

This job is responsible for executing substantive money laundering, economic sanctions and fraud compliance and operational risk practices. Key responsibilities include working directly or through compliance officers for the Front Line Units (FLUs) and Control Functions (CFs) to complete compliance, policy, operational/fraud risk management requirements. This job is responsible for enhancing the value of our platforms supporting the deployment and sustainability of financial crimes data and detection models used by Global Financial Crimes at Bank of America. This includes owning the roadmap for the product, delivering well planned enhancements, and managing risks throughout the lifecycle. Key Responsibilities include research, documenting requirements, data driven backlog refinement, prioritizing enhancements, planning, testing, monitoring, tracking issues, and defining objectives for reporting routines. Job Expectations include ownership of key product decisions and deep subject matter expertise to manage complex products with large agile teams in delivery of scalable data warehouses, data lakes, and data products supporting Global Financial Crimes and Anti-Money Laundering work.

Requirements

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).

Nice To Haves

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

Responsibilities

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).