Data Manager / Sr Data Analyst - Enterprise Credit

Bank of America•Tampa, FL

47d•$86,000 - $180,000•Onsite

About The Position

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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 driving accurate, complete, and timely delivery of data. Key responsibilities include working with business stakeholders and technology teams to direct data management activities and ensure availability for use by appropriate consumers. Job expectations include managing execution within the enterprise data management standards, data quality, and control practices. The Enterprise Credit Analytics & Transformation Strategy (ECATS) team is part of the Enterprise Credit organization. The primary focus of the ECATS team is to produce and communicate high-quality, fit-for-use, and concise data and information related to Global Banking and Enterprise Credit data and information. This team is responsible for defining and enhancing Enterprise Credit data processes, including platforms, reporting, governance, data management and data remediation. This Data Manager role supports the ECATS Data Initiative and Strategy (DIS) team with a focus on data discovery and resolution. Responsibilities include supporting adherence to enterprise data quality standards, as well as, identification of capture, transport and data use issues. The Data Manager will perform impact assessments and data analysis, lead data remediation efforts, support prioritization and reporting of data quality issues, and engage with business and technical stakeholders. The scope of work includes defining how data is managed and sourced across multiple upstream lines of business and within the Wholesale Credit data infrastructure. The primary requirement is to create sophisticated, value-added analytics and solutions that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. Traditional systems analysis skills are a plus.

Requirements

3-5 years of Data Management experience (data quality, metadata management, governance, etc.)
Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
Critical thinker; ability to analyze problems and identify both tactical and strategic solutions to address
Highly organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment
Experience with credit-related processes and systems including the distribution/use of credit data for analytics, modeling, and reporting
Able to identify and remediate risks in a timely manner
Able to navigate the enterprise / source information across multiple functions
Management experience with small to mid-size teams.
Excellent project management skills, including the ability to prioritize work and meet deadlines
Strong Microsoft Office Suite (Excel, PowerPoint, Visio, etc.)
Experience and strong understanding of data relationships
Excellent verbal and written communication skills
General knowledge of bank financial practices and policies

Nice To Haves

Degree in business, computer science or related discipline
In-depth experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures
Familiarity with Wholesale Credit systems
Process design experience

Responsibilities

Works with Line of Business partners, including Compliance, Audit, and Risk to understand needs and produce data solutions, often times in partnership with Technology
Identifies gaps in data management standards adherence and works with appropriate partners to develop plans for resolution, including recommendations so that relevant risk and compliance policies and standards are met
Analyzes emerging needs for data to address risk, regulatory, or business enablement priorities and appropriately plans for interim and target state solutions within data management policies
Monitors key performance indicators and internal controls in accordance with established thresholds, standards, and policies

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