Gen AI Data Platform Lead — Governance & BI Analytics

Bank of America; Addison (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Bank of America is seeking a senior leader to shape GenAI data governance and enterprise data platform strategy. You will define governance standards, metadata, data lineage, and adoption programs across multiple tenants.

You will partner with engineering, risk, and business stakeholders to drive scalable, secure, compliant data solutions and foster platform adoption. This role emphasizes hands-on execution and strategic thinking to deliver business value and trusted data for AI initiatives.

Qualifications

• 10+ years leading data management, data analytics, data governance, or data platform initiatives enabling AI or GenAI.
• Deep expertise in data governance, metadata management, data lineage, business glossaries, data quality, MDM, and 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 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.

Responsibilities

• Assemble large, complex data sets meeting functional and non-functional requirements across multiple systems.
• Maintain, clean, and manipulate large data for operational and analytics data systems; build data transformation pipelines and data quality controls.
• Collaborate with development teams to understand data requirements and ensure feasible data architecture.
• Define and build data pipelines enabling data-informed decision making with proper release and risk management.
• Contribute to tests including integration, regression, and performance; lead triage of issues.
• Identify gaps in data management standards and develop remediation plans; prototype toolsets.
• Mentor Data Engineers in CI/CD delivery and define KPIs and controls.
• Define and execute strategic roadmaps for governance, adoption, and tenant service capabilities.
• Partner with engineering to ensure scalable, secure platform services; establish operating models and SLAs.
• Evaluate emerging technologies related to governance, cataloging, metadata management, and AI governance.
• Mentor and coach team members to foster governance, accountability, innovation, and customer-focused delivery.
• Lead implementation and continuous improvement of enterprise data governance frameworks and operating models.
• Drive adoption of metadata management, data lineage, glossaries, classification, and quality indicators across the enterprise.
• Partner with data stewards and risk partners to ensure governance and regulatory compliance.
• Enable discovery, understanding, and consumption of enterprise data assets via governance-enabled self-service capabilities.
• Promote consistent use of lineage, tagging, and data quality indicators to improve trust.
• Develop strategies to increase adoption of enterprise data platform capabilities, self-service analytics, and AI-enabled data solutions.
• Define onboarding frameworks, playbooks, and training for tenant success and platform utilization.
• Collaborate with business and technology stakeholders to improve platform capabilities and accessibility.
• Drive awareness and education programs on platform services and governance requirements.
• Measure adoption trends, identify barriers, and implement continuous improvement to maximize business value.

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

Job description

Bank of America is seeking a senior leader to shape GenAI data governance and enterprise data platform strategy. You will define governance standards, metadata, data lineage, and adoption programs across multiple tenants.

You will partner with engineering, risk, and business stakeholders to drive scalable, secure, compliant data solutions and foster platform adoption. This role emphasizes hands-on execution and strategic thinking to deliver business value and trusted data for AI initiatives.