Data Support Manager
About The Position
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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 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. Under the GRM DSM Executive’s leadership, the Data Support Manager will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment, and be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.
Requirements
- Bachelor’s degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Master’s degree, 5+ years’ experience.
- Deep understanding of BCBS 239 principles and their practical implementation in a large organization.
- 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.
- Proven track record of defining and delivering product roadmaps for complex data management or reporting platforms.
- Strong stakeholder management and cross-functional leadership skills.
- Proficiency in Agile delivery methodologies (e.g. Scrim, SAFe).
- Excellent communication skills (written, verbal and presentation) with the ability to translate regulatory language into actionable technical requirements.
- 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.
- Experience with data modeling for complex data pipelines, data lake and data platforms.
- Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
- Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.
Nice To Haves
- 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.
Responsibilities
- Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards
- Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.
- Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
- Design data products to provide high quality data for quantitative modeling solutions for GRM.
- Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
- Evangelize and design new data solutions and capabilities to support risk lines of businesses.
- Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
- Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.
- Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
- Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.
Benefits
- access to paid time off
- resources and support to our employees
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What This Job Offers
Job Type
Full-time
Career Level
Manager
