Bank of America

Within GRM, we have established the Data Strategy & Management (DSM) function.. 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.. Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.. Bachelors or Masters in computer science, system analysis, Information Systems or related field.

data strategy

Now hiring in New York, NY

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!




BACKGROUND


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.




Job Description


This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.




Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.


Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.


Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.


Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.


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.




Skills:




Attention to Detail


Collaboration


Data Governance


Data Quality Management


Risk Management


Adaptability


Controls Management


Negotiation


Problem Solving


Result Orientation


Change Management


Continuous Improvement


Data Management


Presentation Skills


Stakeholder Management




QUALIFICATIONS




Bachelors or Masters in computer science, system analysis, Information Systems or related field.


1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role


Strong process/systems analysis, design and documentation.


Strong analytical, critical thinking, and problem-solving skills.


Ability to monitor tight deadlines and adapt to unexpected requirement changes.


Strong Understanding of Risk Management and Data Management Principles




PREFERRED QUALIFICATIONS




Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking


Understanding or experience of programming in SQL, C/C++, Java


Familiarity with databases, such as Oracle, Hadoop, etc.




Shift:




1st shift (United States of America)




Hours Per Week:




40

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