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Data Strategy, Data/Information Architect

4 months ago

Charlotte, United States Bank of America Full time
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 job is responsible for defining Data Architecture strategy for Global Risk Management Organization. Key responsibilities include identifying data risks to which the LOB is exposed, implementing measures to prevent and mitigate losses, and monitoring outcomes. Job expectations will include the ability to recognize all risk categories including credit, market, financial, operational and compliance.

This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, Technology Teams to understand and assess their data, processes, and technology to remediate data architecture deficiencies, and drive data strategy.
  • Consult with data stewards, business process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data architecture, domain data models, tools and frameworks used for data capabilities, data sources, control features, data interfaces with other systems required.
  • Identify opportunities to reduce the data redundancies across Risk Organization and define data strategy
  • Create Data Taxonomy for Risk Data Organization
  • Analyze Data Sources and develop Authorized Data Sourcing (ADS) adoption strategy
  • Define and Socialize Data Architecture Standards and Principles
  • Define and Socialize Data Model Standards and guidelines
  • Define and execute overall Risk Data Strategy, Risk Line of Business specific data strategy
  • Evaluate and Recommend tools and frameworks for various data management capabilities (i.e., Metadata, Lineage, Data Quality, Data Protection)
  • Assess and identify deficiencies against internal data management policies and standards or industry best practices, providing formal recommendations and requirements to remediate.
  • Coordinate with other Front Line Units and Control Functions (FLU/CFs) Data Strategy and Management teams to streamline the Data Sourcing Strategy for Risk Organization
  • Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.
  • Review and provide input to technical solution designs from a business point of view and recommend alternatives.
  • Communicate plans, progress and risks appropriately to the stakeholders and sponsors.
Responsibilities:
  • Participates in establishing risk management procedures and standards.
  • Conducts execution of risk framework activities including independent monitoring and testing of controls and risk management processes for the Line of Business (LOB)
  • Liaisons with businesses to understand market trends and impacts on portfolio, using knowledge of stress testing and its applicability to risk categories.
  • Ensures adherence to the policies and procedures established by the company.
  • Manages risk requests, breach remediations and providing risk effective challenges for front line units.
  • Develops risk management analyses, reports, and approval procedures and guidelines on risk limits by type of product and/or transaction.
BUSINESS OVERVIEW:
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 growing Strategic Coordination and Implementation (SCI) team.

Under DSM Executive's leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value. This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.

SKILLS:
  • Analytical Thinking
  • Critical Thinking
  • Collaboration
  • Oral Communications
  • Presentation Skills
  • Written Communications
  • Technical Documentation
  • Data Strategy and Roadmap Development
  • Data Architecture & Modelling
  • Data Management
  • Regulatory Compliance
QUALIFICATIONS:
  • Bachelors or Masters in computer science, system analysis, Information Systems or related field or equivalent work experience
  • 7-10+ years of Experience with Data Strategy, Data Architecture, Data Engineering & Data Management
  • Experience in Maintaining and Developing Modern Data Architecture (i.e., Data Lake, Data Lakehouse, Data Mesh/Products, Data Market Place)
  • Strong process/systems analysis, design, and documentation
  • Strong Understanding of Risk Management and Data Management Principles
  • Ability to monitor tight deadlines and adapt to unexpected requirement changes.
  • Self-motivated with an ability to work on one's own with a strong sense of ownership and accountability in high-pressure situations.
DESIRED QUALIFICATIONS:
  • Familiarity with one of the following areas - Trading, Consumer Banking, Wealth Management, Transaction Banking
  • Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata)
  • Data Virtualization Tools (i.e., Trino, Dremio)
  • Data Sourcing Movement Tools (Real Time and Batch)
  • Understanding or experience of programming in SQL, C/C++, Java, Python


Shift:
1st shift (United States of America)

Hours Per Week:
40