Global Financial Crimes Data Platform Product Lead

Bank of America; Charlotte (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

Bank of America is seeking a senior data product manager for Global Financial Crimes. You will own the platform roadmap for analytics, detection models, and investigations, guiding a large team across data warehouses, data lakes, and data products with a focus on regulatory compliance and risk management.

The role emphasizes strong data governance, cross-functional collaboration, and end-to-end risk ownership within an agile SDLC environment.

Qualifications

• 7+ years of experience in data analysis, product management, and/or risk technology.
• Strong analytical and problem-solving mindset with focus on sustainability, efficiency, and control robustness.
• Ability to collaborate with cross-functional teams across SDLC in a scalable Agile environment.
• Experience with model lifecycle management including deployment, validation, calibration, and performance monitoring.

Responsibilities

• Develops the technical platform strategy for analytics, detection models, and investigations.
• Maintains and refines the product roadmap to maximize value.
• Executes with Agile methodology and clear backlog prioritization.
• Gathers and documents actionable technical requirements for complex projects.
• Analyzes data and synthesizes insights to identify strategic improvements.
• Communicates roadmap risks and decisions to gain stakeholder buy-in.

Skills

Data analysis

Product management

Regulatory compliance

Cross-functional collaboration

Coaching

Issue Management

Policies, Procedures, and Guidelines

Strategy Planning and Development

Written Communications

External Resource Management

Reporting

Talent Development

Education

Bachelor's Degree

Certified Anti-Money Laundering Specialist (CAMS)

Tools

SQL

PySpark

Data Warehousing

Job description

Bank of America is seeking a senior data product manager for Global Financial Crimes. You will own the platform roadmap for analytics, detection models, and investigations, guiding a large team across data warehouses, data lakes, and data products with a focus on regulatory compliance and risk management.

The role emphasizes strong data governance, cross-functional collaboration, and end-to-end risk ownership within an agile SDLC environment.