Senior Data Engineer - Credit Data Analytics

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: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.Responsibilities:Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls.Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.).Supports the design and execution of new analytics, automated testing tools, and models.Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.Exercises judgment, critical thinking, and sound communication skills to influence business partners.Coaches/trains junior team members in the execution of analytics and automation activities.Managerial Responsibilities:This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.Manager of Process & Data: Demonstrates deep process knowledge, operational excellence, and innovation through a focus on simplicity, data-based decision making, and continuous improvement.Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities, and contributions.Risk Manager: Ensures proper risk discipline, controls, and culture are in place to identify, escalate, and debate issues.People Manager & Coach: Provides inspection, coaching, and feedback to motivate, differentiate, and improve performance.Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting, and appropriately delegating team work.Skills:Analytical ThinkingApplication DevelopmentData ManagementRisk ManagementSolution DesignAgile PracticesArchitectureCollaborationDecision MakingDevOps PracticesBusiness AcumenData Quality ManagementFinancial ManagementSolution Delivery ProcessTest EngineeringRequired Skills:Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools.Advanced skills in Microsoft Excel.Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data.Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools.Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision.Strong written and oral communication skills, with ability to communicate with both technical and executive audiences.Desired Skills:Experience with one or more of the following a plus: model development, machine learning / artificial intelligence, and data science.Experience with one or more of the following a plus: DataRobot, Instabase, and UIPath.Shift:1st shift (United States of America)Hours Per Week:40

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