Senior Data Analyst – Enterprise Data Management

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. 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!

Job Description:

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping define access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

Assists the DSME and DSE in the execution of Enterprise Data Management Standards, data quality practices, and control processes. Functions as a liaison between the DSME and data management stakeholders that carry out data management tasks. Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Monitors key performance indicators and internal controls. Partners with stakeholders to create infrastructure and processes that adhere to EDM standards and other regulatory mandates. Works with other groups as needed, including Compliance, Audit, Operational Risk, and Technology, to ensure effective controls over data for the respective Domain. May indirectly manage others.

Responsible for data monitoring and controls across Global Technology (GT) FLU/Domains. Primary functions include monitoring existing and new business processes, risks, and controls across the EDM (Enterprise Data Management) Data Lifecycles to improve out-of-tolerance conditions; partnering with stakeholders to perform QA assessments, identify and remediate gaps, and ensure adherence to EDM policies and standards.

Key Responsibilities

• Subject matter expert for adherence with Capture, Transport, Use, and External Data Transmission (EDT) requirements across GT domains.
• Partner with FLU and DSE leads to provide oversight and create action plans to address EDM standards adherence remediation gaps.
• Facilitate annual EDM Standards Adherence inspections and engage appropriate stakeholders.
• Partner with FLU and DSE leads to educate, report, and monitor EDM standards adherence.
• Partner with FLU and DSE leads to research and resolve EDMR metric breaches.

Responsibilities

• Ensures data is accurate, complete, and fit for purpose through testing procedures and data controls that identify business insights and support operational needs.
• Develops and executes Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for data compliance topics, and manages operational elements of the Enterprise Data Strategy Governance and Operations (EDSGO) relationship.
• Manages data-related incidents and identifies, communicates, resolves, or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives.
• Develops, manages, and executes controls, ensuring tracking, monitoring, and resolution of control breaches associated with data platforms.
• Partners with Business and Technology functions to drive the development of business and functional requirements and ensures strategic upstream resolution for data-related incidents.

Required Qualifications

• 5+ years of financial industry experience, preferably in Finance, Technology, Data Management, or related disciplines.
• Detail-oriented with the ability to manage a variety of tasks.
• Works in a self-directed manner and takes a proactive approach to responsibilities.
• Highly organized with the ability to prioritize work, manage complexity, and deliver solutions within deadlines.
• Excellent verbal and written communication skills.
• Experience performing data analysis.
• Demonstrated intellectual curiosity and commitment to accuracy, with the ability to research issues, identify root causes, and recognize patterns.
• Strong collaboration and teamwork skills.
• Proficiency with Microsoft Excel, Microsoft Access, SharePoint, and Microsoft Office applications.

Desired Qualifications

• Bachelor’s degree .
• Experience with Enterprise Data Management (EDM) policies and standards.
• Familiarity with Risk Data Aggregation (RDA) principles and governance practices, including data ownership, lineage, quality, controls, issue management, and the production of accurate, complete, and timely risk data and reporting.

Skills

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Risk Data Aggregation (RDA) Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design

Shift:

1st shift (United States of America)

Hours Per Week: 

40