Senior Data Architect

Bank of America

Senior Data Architect driving AI governance and architectural solutions at Bank of America. Collaborating with technology teams to design secure AI ecosystems and ensure compliance.

Posted 5/28/2026full-timeWestlake Village • California • 🇺🇸 United StatesSenior💰 $163,500 - $187,800 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Partners with various technology teams to establish data solutions and architecture for large, complex initiatives that align with the enterprise data architecture strategy and strategic technology and platform decisions.
Develops clear and concise responses to questions from senior management and control partners regarding the enterprise data architecture strategy.
Manages multiple priorities in a matrixed environment with attention to detail and accuracy.
Communicates effectively to influence agreement between partners and escalates items, as needed, to ensure execution activities remain on track.
Ensures all relevant risk, financial, and compliance policies and standards are met.
Manages relationships with business and technology partners and creates an inclusive and healthy working environment to resolve organizational impediments and blockers.
Educates data management teams on enterprise data architectural principles, processes, and routines.
Design & maintain the architectural framework for AI/ML controls, ensuring alignment with enterprise risk & compliance requirements.
Assess AI Control Capabilities and conduct formal assessments of AI platforms, tools, and frameworks to determine their control maturity, gaps, and alignment with enterprise standards.

Requirements

What you’ll need

10+ years in data architecture, ML/AI engineering, or enterprise architecture roles.
Demonstrated experience assessing AI control capabilities, including evaluating vendors, platforms, and internal systems.
Deep expertise in AI/ML governance, risk management, and Responsible AI frameworks.
Strong knowledge of enterprise data architecture, governance, lineage, metadata, and privacy controls.
Hands-on experience with modern data platforms (Databricks, Snowflake, Azure Data Lake, Synapse, etc.).
Proficiency with AI infrastructure (vector databases, LLM orchestration platforms, embeddings pipelines).
Strong programming and data engineering skills (Python, SQL, Spark).
Experience architecting secure cloud-native solutions (Azure preferred).

Benefits

Comp & perks

This role is currently benefits eligible.
We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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Hard Skills & Tools

data architectureML engineeringAI governancerisk managementResponsible AI frameworksdata governancemetadata managementPythonSQLSpark

Soft Skills

communicationinfluenceattention to detailrelationship managementorganizational skillsproblem-solvingteam collaborationeducational skills