Data Connections Subject Matter Expert

Data Connections Subject Matter Expert

Charlotte, North Carolina;Chandler, Arizona; Newark, Delaware; Phoenix, Arizona

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:

May manage or supervise a small group. 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 business data users to define the use of data within risk systems. Work closely with technology to ensure the timely and accurate operation of risk models and reporting systems. Implement effective risk controls of our data processes and systems. Participate in user acceptance testing of data control processes. 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.

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

Job Description

Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

The EIT Data Connections Team works closely with Sample and Test Development, Test Owners and FLU Data Contacts to understand the objective of test and data requirements. Discussions are facilitated between the Application Managers and EIT Technology teams to identify the best source of data and establish systematic connections to enable test automation.

Role Overview

The Data Connections Subject Matter Expert (SME) is responsible for establishing deep knowledge of data sources and business process to support the development of automated testing that provides timely, useful, and actionable independent insight on the operational health of Bank of America's processes.

As a Data Connections SME, main responsibilities include:

• Partnering with key stakeholders to understand data needs and review test scripts and/or SQL code to understand the data required for automation.

• Facilitating discussions between Application Managers and EIT Technology Teams to understand data sources, data structure, flows and controls.

• Strive for operational excellence and become an effective advocate of process improvement opportunities to support the adoption of new applications.

• Establish systematic connections for test automation.

• Lead Data Quality and Data Automation projects and initiatives that impact cross-functional teams.

• Ensure adherence to SLA's and Metrics associated with productivity, turn-around time, accuracy and process control.

Required Education & Experience:

• Bachelor's degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration

• 5+ years of relevant work experience

Required Skills

Intellectual Curiosity

• Applies critical thinking and connects the dots on how processes relate to one another.

• Demonstrates understanding of and passion for the "why".

• Looks around the corner, explores uncharted territories with an "outside-in" perspective.

• Life-long learner who not only assertively educates self, but encourages others to learn and grow.

• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.

• Ability to recommend and implement process control improvements.

Executive Interaction & Communication

• Strong written, verbal, presentation creation and delivery skills.

• Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.

• Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.

• Presentations tell a compelling story and influence action.

• Asks the next level of questions, applies context to determine direction.

Technical Skills

• Experience with structured and unstructured data

• Experience utilizing tools such as Hadoop and Trino

• Deep understanding of databases and table structures

• Proficient in SQL/Python

• Proficient in Microsoft PowerPoint and Excel

Shift:

1st shift (United States of America)

Hours Per Week:

40

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