Senior GenAI Platform Data Engineer

Bank Of America; Pennington (AL); On-site; USD 104,000 - 158,000; Full time

Job summary

Bank of America is building a next-generation Gen AI data platform to empower AI initiatives across Consumer, Small Business, Global Banking, and Wealth. The role focuses on governance, adoption, onboarding, and tenant support for enterprise data platforms, collaborating with engineering, risk, and business stakeholders to achieve enterprise-wide outcomes.

You will lead governance, metadata management, and data quality improvements, driving secure, scalable, and compliant data solutions across

Responsibilities

• Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities
• Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment
• Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements
• Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes
• Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes
• Leads complex information technology projects to ensure on‑time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making
• Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls
• Define and execute strategic roadmaps for governance, adoption, and tenant service capabilities.
• Partner with engineering organizations to ensure platform services are scalable, secure, reliable, and aligned with enterprise standards.
• Establish operating models, service processes, SLAs, and support frameworks that improve platform stability and user experience.
• Evaluate emerging technologies and industry best practices related to data governance, cataloging, metadata management, platform operations, and AI governance.
• Lead the implementation and continuous improvement of enterprise data governance frameworks, standards, controls, and operating models.
• Drive adoption of metadata management, data lineage, business glossaries, data classification, and data quality practices across the enterprise.
• Partner with data stewards, platform teams, architects, and risk partners to ensure compliance with governance, privacy, security, and regulatory requirements.
• Identify gaps and establish remediation plans to improve data quality, transparency, accountability, and trust.
• Enable effective understanding, and consumption of enterprise data assets through governance-enabled self-service capabilities.
• Promote consistent use of lineage, classification, tagging, annotations, and data quality indicators to improve trust and usability.
• Develop and execute strategies to increase adoption of enterprise data platform capabilities, self-service analytics, and AI-enabled data solutions.
• Define onboarding frameworks, best practices, playbooks, and training programs to accelerate tenant success and platform utilization.
• Partner with business and technology stakeholders to understand user needs and improve platform capabilities, experience, and accessibility.
• Drive awareness and education programs to increase understanding of platform services, governance requirements, and supported use cases.
• Measure adoption trends, identify barriers, and implement continuous improvement initiatives to maximize business value.

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

Job description

Bank of America is building a next-generation Gen AI data platform to empower AI initiatives across Consumer, Small Business, Global Banking, and Wealth. The role focuses on governance, adoption, onboarding, and tenant support for enterprise data platforms, collaborating with engineering, risk, and business stakeholders to achieve enterprise-wide outcomes.

You will lead governance, metadata management, and data quality improvements, driving secure, scalable, and compliant data solutions across