Senior Data Engineer-AIBI 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. 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. Join us!

Position Summary:

Join a groundbreaking team at Bank of America at the forefront of innovation in AI. We are building the next generation of Gen AI platform empowering new AI initiatives across Consumer Small Business Global Banking and Wealth organizations. This is a unique opportunity to contribute to a critical platform that will enable secure scalable and high-performance AI capabilities across the organization. We value curiosity collaboration and a passion for pushing the boundaries of whats possible with AI.

This position is focused on design build and serve the Gen AI BI capabilities.

his is a unique opportunity to shape the enterprise data ecosystem by establishing governance standards improving data discoverability enabling self-service capabilities supporting platform tenants and ensuring secure scalable and compliant usage of data platform technologies. The ideal candidate combines deep expertise in data governance and metadata management with a strong customer-centric mindset focused on platform adoption and business value realization.
This role is responsible for defining and leading the governance adoption onboarding and tenant support strategy for enterprise data platforms while partnering with engineering architecture risk and business stakeholders to drive enterprise-wide outcomes.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
• 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.
• Mentor and coach team members while fostering a culture of governance accountability innovation and customer-focused delivery.
• 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 governance gaps and establish remediation plans to improve data quality transparency accountability and trust.
• Enable effective discovery 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.

Required qualifications:

• 10 years of experience leading data management data analytics data engineering data governance or data platform initiatives enabling AI or GenAI.
• Deep expertise in data governance metadata management data lineage business glossaries data quality master data management and information lifecycle management.
• Strong experience implementing governance controls supporting privacy security risk and regulatory compliance requirements.
• Proven success driving enterprise adoption of data platforms self-service analytics cloud data services and AI-enabled solutions.
• Hands-on experience with metadata and governance platforms including data catalogs lineage tools semantic layers knowledge graphs and business metadata repositories.
• Experience establishing operating models for platform onboarding tenant enablement customer success and service delivery.
• Strong understanding of modern cloud-based data platforms and large-scale enterprise data ecosystems.
• Experience managing multiple business tenants in shared enterprise platforms while ensuring appropriate governance security and operational controls.
• Ability to define and monitor platform adoption metrics governance KPIs service health metrics and operational effectiveness measures.
• Excellent stakeholder management communication and influencing skills with senior business and technology leadership.
• Demonstrated ability to balance strategic planning with hands-on execution in a complex enterprise environment.

Desired Qualifications

• Experience supporting enterprise AI analytics or data science platforms from a governance and enablement perspective.
• Knowledge of data governance frameworks AI governance responsible AI and model lifecycle governance.
• Experience leading cloud migration platform modernization and adoption programs.
• Strong understanding of user experience and customer journey design for enterprise data platforms.
• Experience developing training enablement and community engagement programs to drive sustained platform adoption.
• Track record of building high-performing teams and driving a culture of quality innovation accountability and continuous improvement.
• Experience evaluating and piloting emerging governance cataloging observability and platform management technologies.

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Risk Management
• Solution Design
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• DevOps Practices
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Test Engineering

Shift:

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