Global Financial Crimes Platform Lead

NCSL International; Newark (DE); On-site; USD 120,000 - 160,000; Full time

Job summary

Bank of America is seeking an experienced Senior Data Product Manager for its Global Financial Crimes and Anti-Money Laundering work streams. The role champions a roadmap for scalable data warehouses and data lakes, guiding analytics platforms and detection models across large agile teams.

The ideal candidate has 7+ years in data analysis or risk technology, strong communication, and deep subject-matter expertise in data governance and regulatory compliance.

Qualifications

• The candidate will have 7+ years in data analysis, product management, or risk technology.
• Strong analytical and communication skills to work with cross-functional teams.
• Experience with SDLC and agile delivery in a data platform context.
• Familiarity with data governance, metadata, and regulatory controls.

Responsibilities

• Develops 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 to identify strategic improvements and communicate decisions.
• Acts as SME to guide decisions and drive innovation in data platforms.
• Owns end-to-end risk for the product with preventive processes and remediation.
• Collaborates with business users and tech partners to design robust solutions.

Skills

Critical Thinking

Monitoring Surveill

Regulatory Compliance

Risk Management

Coaching

Issue Management

Policies Procedures

Strategy Planning

Written Communications

External Resource Management

Reporting

Talent Development

Education

Bachelor's Degree in related field

Tools

SQL

PySpark

Data Warehouses

Data Lakes

Job description

Bank of America is seeking an experienced Senior Data Product Manager for its Global Financial Crimes and Anti-Money Laundering work streams. The role champions a roadmap for scalable data warehouses and data lakes, guiding analytics platforms and detection models across large agile teams.

The ideal candidate has 7+ years in data analysis or risk technology, strong communication, and deep subject-matter expertise in data governance and regulatory compliance.