Financial Crimes Manager, Platform Enablement Product Owner

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

 

Job Description:

This job is responsible for enhancing the value of our technical platforms supporting the deployment and sustainability of financial crime 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.

Key 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.
• Defines 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).

Required Qualifications:

• 7+ years of experience
• 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 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 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.
• Experience performing data quality assessments.
• Experience with analytics infrastructure in a financial institution or technology environment.  
• Understanding of model lifecycle management, including deployment, validation, calibration, and performance monitoring.
• Familiarity with advanced statistical and modeling techniques such as artificial intelligence and machine learning.
• Understanding of risk management and model governance frameworks (e.g., SR 11-7, OCC 2011-12).
• 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.

Skills:

• Critical Thinking
• Monitoring, Surveillance, and Testing
• Regulatory Compliance
• Risk Management
• Strategy Planning and Development
• Written Communications
• External Resource Management
• Reporting

Shift:

Hours Per Week: