Data Manager - Global Payments Solutions

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 driving accurate, complete, and timely delivery of data. Key responsibilities include working with business stakeholders and technology teams to direct commercial banking data management activities and ensure availability for use by appropriate consumers. Job expectations include managing execution within the enterprise data management standards, data quality, and control practices.

• Works with Line of Business partners, including Compliance, Audit, and Risk to understand needs and produce data solutions, often times in partnership with Technology
• Identifies gaps in data management standards adherence and works with appropriate partners to develop plans for resolution, including recommendations so that relevant risk and compliance policies and standards are met
• Analyzes emerging needs for data to address risk, regulatory, or business enablement priorities and appropriately plans for interim and target state solutions within data management policies
• Monitors key performance indicators and internal controls in accordance with established thresholds, standards, and policies

• Data Management
• Data Modeling
• Data Quality Management
• Reporting
• Data Governance
• Product Management
• Project Management