Description

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:
Manage a group or process(potentially global). Work with business data users to define the use of data within risk systems. Recommend remediation of control gaps and implements effective risk controls of our data processes and systems. Participate in and lead user acceptance testing of data control processes. Understand existing risk systems, data flows, and infrastructure to identify gaps between business usage of data and current implementations. Recommend alternate data sources and processes to improve the control environment. Lead cross functional strategic efforts to remediate data quality issues. Proactively monitor and remediate incoming data used in risk measurement and reporting. Ensure the completeness, validity, and accuracy of data on a daily basis. Work with other groups as needed, including Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM.

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Required Skills:

• Bachelor's degree in computer science, Engineering, Data Science or Analytics, Risk Management, or a related field OR equivalent experience
• Strong experience working with risk reporting systems, data warehouses, reporting tools, and governance frameworks.
• Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring.
• Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
• Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
• Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
• Experience with relational and NoSQL data stores and big data environments.
• Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
• Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.

Desired Skills:

• Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
• Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
• Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.

Skills:

• Critical Thinking
• Data Governance
• Negotiation
• Risk Management
• Stakeholder Management
• Attention to Detail
• Change Management
• Issue Management
• Presentation Skills
• Regulatory Relations
• Business Acumen
• Continuous Improvement
• Controls Management
• Data Management
• Performance Management

Shift:
1st shift (United States of America)

Hours Per Week:
40