Sr. Data Governance Analyst

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!

Position Summary

This role is responsible for leading complex efforts to understand and govern data solutions within technology solutions as well as business processes, controls, and metrics. Key responsibilities include influencing and delivering the data strategy for GIS and ensuring GIS technology solutions and business process, controls, and metrics, comply with both GIS and enterprise data and records management standards; partnering closely with the GIS DSE, DQCE, and DDM on Data Management activities, policies, and standards for GIS; and driving effort to implement of a DQ Metrics & Scorecard Dashboard as part of the newly established GIS Data Quality Management Program. Must be able to provide technical thought leadership based on the significant experience in data governance and data quality roles.  Also will be responsible for examining complex data to optimize the efficiency and quality of the data being collected, resolving data quality problems as well as working with various enterprise level and local data management & governance, data architecture, data engineering/development, and data quality teams. Will contribute to efforts to capture and manage data dictionaries/catalogue, data lineage, and all forms of business, technical and operational metadata. 

Primary Level of Engagement: Works as a team member with leadership responsibilities but does not manage people.

Primary Interactions:

GT Data Management Partners

Scrum Masters

Development Teams

Data Architects

Data Quality Analysts

Data Governance Analysts

Business Process, Control, and Metric Owners

GIS Data Owners

Key Responsibilities:

• Partners closely with the Global Technology Data Management – GIS DSE and DQCE Lead on Data Management activities, policies, and standards for GIS
• Works closely with business and technology partners to provide data governance and understand data domain requirements and issues
• Provides guidance to business partners in driving GIS Data Governance and Data Quality requirements and prioritization
• Provides guidance to process, control, and metric owners on EDM Standards in support of ensuring GIS SPI and Metrics are in adherence with the standards. 
• Provides guidance on development and implementation of data quality rules, monitoring of data quality, and helps drive data analysis, data quality improvement and issue resolution
• Partners with the DQ Lead, to drive effort to implement a GIS DQ Metrics & Scorecard Dashboard as part of the newly established GIS Data Quality Management Program
• Participates in identification and development of data management tools, to include metadata management and data quality measurement and reporting requirements
• Works closely with data owners in the identification and documentation of business and technical metadata.
• Acts as Product Manager for the team’s Kanban to include ensuring quality of team’s stories, prioritization of the backlog, and working with team’s part time scrum master as needed

Qualifications:

• Understanding of Data Management fundamentals, including metadata, data quality, and data governance
• Understanding of Data Quality fundamentals
• Strong analytical and organizational skills; ability to collect, organize, and analyze information
• Strong process design and improvement skills
• Excellent collaboration skills, as well as ability to successfully mentor and coach others
• Excellent oral, written, and presentation skills, including the ability to work in person, virtually, and in a globally-staffed environment
• Able to influence, lead, and communicate effectively across technology peers, business units, managers and senior leadership
• Able to bridge gap between technology and business and clearly articulate concepts, requirements, and solutions
• Adept at handling multiple tasks and adapt to daily changing requirements
• 7 years of experience with data management and governance
• 7 years of experience leading leading cross-functional workgroups or organizational & administrative operations

Desired:

• Knowledge of Enterprise Data Management, Global Records Management, Regulatory Reporting, and Risk Data Aggregation Policies and Standards
• Experience in database modelling, architecture, design, and implementation
• Knowledge of Global Information Security business & technology environment

Skills:

• Analytical Thinking
• Data Management
• Risk Management
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• Business Acumen
• Data Quality Management

Enterprise Role Overview:
This job is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.

Shift:

Hours Per Week: