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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:
This role is for Global Financial Crimes (“GFC”) Data Manager position on the GFC Data Governance and Oversight Team (GFC Data Team), under the supervision from a GFC team manager. The GFC Data Team is responsible for driving successful adoption of company’s Data Management Policies and Financial Crimes Standard (FC standard) within GFC and ensure sustainable execution of the enterprise data strategy in support of critical business processes in Anti-Money Laundering (AML), Economic Sanctions and Financial Crimes Risk Management.

The GFC Data Manager will interact with a wide variety of stakeholders across Global Risk Management, Front Line Units (FLUs), Global Technology & Operations and Enterprise Data Strategy & Governance to provide subject matter expertise for data related matters as it relates to Financial Crimes Compliance solutions. This role is responsible for detailed understanding and implementation of enterprise data management and oversight practices for GFC data domain and supporting GFC product owners, product managers and risk management in delivering strategic data objectives. In addition to participating in and executing, as appropriate, QA activities supporting the Enterprise Data Managements Policy and associated Standards, GFC data manager will also be accountable for executing thematic analysis of GFC-owned data issues, incidents and control enhancements and provide necessary guidance and hands-on assistance to data specialists on the GFC Data Team to drive valid business outcomes.

Required Qualifications:

• 5 Years of relevant work experience in data management and data controls oversight
• Strong written and verbal communication skills and the ability to communicate and work with all levels within the organization
• Strong data analysis and data presentation skills
• Development of process improvements in support company’s data policies and procedures
• Must possess excellent time-management, problem solving, and critical thinking capabilities
• Identify, Manage and Oversee Issues. Responding to Audits and/or Regulatory Examinations (with a Data focus)
• Must be able to engage and leverage teams and business partners to efficiently deliver business solutions
• Must be able to interpret business process requirements into data requirement and quality coverage
• Ability to oversee execution of complex data assessments in support of compliance initiatives, including consistent resolution of data issues/incidents across GFC
• Ensures significant data issues and associated impacts to financial crimes processes are timely identified, effectively communicated, and acted upon

Desired Qualifications:

• Bachelor's Degree
• Knowledge of anti-money laundering (AML), Fraud and Economic Sanctions regulations
• Certified Anti-Money Laundering Specialist (CAMS) certification;
• Understanding of Banking products and Financial Crimes vulnerabilities applicable to these products
• Knowledge and experience of the Company’s data policies and standards and foundational understanding of data architecture

Shift:

Hours Per Week: