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! Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model, and reputational risk matters to support sustainable, profitable corporate growth. In a data-driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture, and data platforms foundation. Under the GRM DSM Executive's leadership, the Data Strategy Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The architect will also contribute to the architecture for the Risk Data and Reporting Platform, enabling Data Management and Reporting capabilities for risk lines of business. Additionally, the architect will evaluate data tools, conduct Proof of Concepts, and develop remediation plans for implementation. Responsibilities: Demonstrate knowledge of data solutions, data platforms, data management & governance practices and standards. Use architecture tools to create design artifacts, including Data models/architecture, API design, and data solutions architecture. Lead strategy & architecture for 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. Assess the health and maturity of data & information capabilities for the GRM domain regularly. Design new data solutions and capabilities to support risk lines of businesses. Define mission, goals, critical success factors, principles, and procedures for data strategy and information architecture. Build business cases to secure approval and funding for Data and Analytical efforts. Manage linkages from information capabilities to technical assets, understanding end-to-end change impact. Maintain integrated logical data models and data flows to understand data interdependencies. Required Skills: Bachelor's degree in computer science/engineering, Data Science, or Analytics, with 6+ years of experience in data platform/solutions and data management architecture; or 5+ years with a Master's degree. Strong experience in designing and developing data solutions, data management & governance products, and data/reporting platforms. Expertise in architecting complex design patterns, microservices, API design, data warehouses, data lakes, and data pipelines. Deep understanding of data strategies such as data mesh, data contracts, and integration fabric. Experience with relational and NoSQL data stores and big data environments. Hands-on expertise with data technologies like Python, Spark, Airflow, JavaScript, and SQL. Ability to research and prototype new data technologies and architect innovative solutions. Experience with data modeling for complex pipelines, lakes, and platforms. Strong experience with data management platforms such as Collibra or open-source frameworks like Apache Atlas, Amundsen, Datahub, Marquez. Exceptional communication skills, both written and verbal, including effective visualization. Desired Skills: Knowledge of data storage formats like Apache Iceberg, Hudi, Delta Lake, Parquet, JSON, and Avro. Experience with graph processing and storage technologies such as Knowledge Graphs, Property Graphs, and graph stores like TigerGraph. Exposure to Linked Data, Open Data, and GenAI-based data solutions. Shift: 1st shift (United States of America) Hours Per Week: 40 #J-18808-Ljbffr
MedStar Health