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.
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Full Job Posting
Responsibilities:
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
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Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes
Partner with Internal Audit, Risk, and Compliance teams to support audits, regulatory exams, and ongoing monitoring, including preparation, validation, and timely submission of product and control evidence. Collaborates with vendor partners to ensure alignment and optimal performance.
Drives cross-functional leadership and execution horizontally, and coordinates with key support partners to improve speed of delivery and strategy adherence.
Works collaboratively with Technology Managers to drive product strategy and to ensure delivery within budget. Supports forecasting, funding requests, vendor cost management, and cost optimization for Data Quality platforms.
Lead critical control routines to ensure the accuracy, completeness, and timeliness of execution requirements within operational guardrails. Continuously refine process standards to reduce risk, improve efficiency, and support scalable growth.
This job is responsible for developing and managing the end-to-end product life cycle for Data Quality products. Key responsibilities include developing short and long-term strategies, conducting market research and competitor analyses, refining the business charge-back approach, and identifying innovative opportunities to modernize the COE offerings and deliver best in class DQ solutions and processes, as well as a more unified user experience.
The role also involves establishing governance frameworks, performance metrics, and control standards to ensure product effectiveness, regulatory adherence, and operational excellence.
Additionally, the position is accountable for driving continuous improvement by analyzing product performance, user feedback, and operational data to identify opportunities for optimization, risk mitigation, and user satisfaction. Strong leadership, stakeholder management, and communication skills are essential to influence decision-making, align cross-functional teams, and deliver measurable business outcomes.
Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy.
Identifies and creates comprehensive plans for product development, deployment, user onboarding and self-service enablement for enterprise capabilities based on user needs, including supporting the creation of training and communication materials to educate internal teams on product capabilities
Provides information on product trends and user needs to Technology teams leveraging knowledge of product functionality, marketplace trends, and the Data Quality solutions landscape
Identifies opportunities to streamline or enhance product offerings to fit tenant's existing and future needs and support continued adoption and operational excellence
Manages risk through implementing and monitoring effective controls in partnership with key support partners
Develops and influences product strategy, driving vendor and internally developed products to provide comprehensive solutions across the bank, Contributes to build vs. buy decisions, and tool rationalization strategies.
Define, track, and report product value metrics. Establish OKRs and KPIs aligned to enterprise data quality objectives.
Optimize the tenant experience by continuous assessment and oversight of the E2E tenant lifecycle from onboarding to execution and support
Provide oversight on data quality control, validations, rules, and monitoring process design and implementation.
Establish and maintain a standardized intake process that prioritize enterprise data quality needs and align to the most suitable capabilities.
Creates comprehensive plans for client onboarding including training materials
Strong Product Management Skills
Skills:
Analytical Thinking
Application Development
Data Management
DevOps Practices
Solution Design
Agile Practices
Collaboration
Decision Making
Risk Management
Test Engineering
Architecture
Business Acumen
Data Quality Management
Financial Management
Solution Delivery Process
Executive Presence
Oral and Written Communication
Presentation Skills
Problem Solving
Attention to Detail
Continuous Improvement
Influence
Product Management
Strategic Thinking
Business Analytics
Innovative Thinking
Process Management
Reporting
Shift:
Hours Per Week:
About Bank of America
Financial Services10,001+Founded 1904
Bank of America is a multinational financial services company and one of the largest banks in the United States. It provides banking, investing, asset management, and other financial products and services to individuals, businesses, and institutions worldwide.
