Bank of America Corporation

Sr Data Architect - AI Controls, Governance & Capabilities

Bank of America Corporation • $135K — $160K *
Charlotte, NC 28269In-Person
Finance & Insurance
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 10+ years in data architecture, ML/AI engineering, or enterprise architecture roles
  • Experience assessing AI control capabilities
  • Expertise in AI/ML governance, risk management, and Responsible AI frameworks
  • Strong knowledge of enterprise data architecture and privacy controls
  • Hands-on experience with modern data platforms like Databricks and Snowflake
  • Proficiency with AI infrastructure (e.g., vector databases)
  • Strong programming skills (Python, SQL, Spark)

Responsibilities

  • Partner with technology teams to create data solutions aligned with enterprise architecture strategy
  • Develop responses for senior management and control partners regarding architecture strategy
  • Manage multiple priorities and ensure attention to detail
  • Influence partners and escalate issues to keep projects on track
  • Meet all relevant risk, financial, and compliance policies
  • Foster relationships with business and technology partners to aid collaboration
  • Educate teams on enterprise data architectural principles

Benefits

  • Comprehensive health and wellness plans
  • Professional development and training opportunities
  • Flexible work hours and remote work options
  • Paid time off and holiday leave
  • Retirement savings plans with company match
Full Job Description
Job Description:

This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines.

We are seeking an experienced Sr. Data Architect with deep expertise in AI Controls, Responsible AI, & enterprise data governance to architect secure, compliant, and trustworthy AI ecosystems. This senior role is responsible for designing technical guardrails, assessing AI control capabilities across platforms and tools, and ensuring the safe adoption of AI technologies enterprise-wide.

The ideal candidate combines advanced data/AI architecture experience with an expert understanding of AI risks, model governance, & the technical control frameworks required in regulated environments.

Responsibilities:

  • 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
  • AI Controls Architecture & Governance
  • Design & maintain the architectural framework for AI/ML controls, ensuring alignment with enterprise risk & compliance requirements.
  • Establish standardized control patterns for data protection, access management, content filtering, prompt governance, and safeguard monitoring.
  • Evaluate & implement tools for explainability, interpretability, redteaming, bias detection, drift monitoring, and auditability.
  • Partner with Risk, Compliance, Model Risk Management, and InfoSec to harmonize AI architectural controls with enterprise governance frameworks.
  • Assessment of AI Control Capabilities
  • Conduct formal assessments of AI platforms, tools, and frameworks to determine their control maturity, gaps, and alignment with enterprise standards.
  • Evaluate vendor AI capabilities (e.g., model APIs, LLM platforms, vector databases, AI orchestration tools) against security, privacy, and operational control requirements.
  • Lead control readiness evaluations for new AI solutions, including RAG pipelines, agents, LLM components, and MLOps/LLMOps platforms.
  • Develop structured assessment criteria for AI guardrails


AI Controls Architecture & Governance
  • Design & maintain the architectural framework for AI/ML controls, ensuring alignment with enterprise risk & compliance requirements.
  • Establish standardized control patterns for data protection, access management, content filtering, prompt governance, and safeguard monitoring.
  • Evaluate & implement tools for explainability, interpretability, red-teaming, bias detection, drift monitoring, and auditability.
  • Partner with Risk, Compliance, Model Risk Management, and InfoSec to harmonize AI architectural controls with enterprise governance frameworks.


Assessment of AI Control Capabilities
  • Conduct formal assessments of AI platforms, tools, and frameworks to determine their control maturity, gaps, and alignment with enterprise standards.
  • Evaluate vendor AI capabilities (e.g., model APIs, LLM platforms, vector databases, AI orchestration tools) against security, privacy, and operational control requirements.
  • Lead control readiness evaluations for new AI solutions, including RAG pipelines, agents, LLM components, and MLOps/LLMOps platforms.
  • Develop structured assessment criteria for AI guardrails such as:
  • Data governance controls
  • Model monitoring & explainability tooling
  • Hallucination mitigation
  • Prompt/response filtering
  • Access and identity management
  • Logging, auditability, & model lineage
  • Provide recommendations, risk mitigation strategies, and architectural guidance based on assessment outcomes.


Responsible AI, Model Controls & Lifecycle Governance
  • Embed Responsible AI principles (explainability, fairness, transparency, robustness) into all AI architectural designs.
  • Architect the full model lifecycle with built-in controls, including documentation, validation, approvals, testing, monitoring, and retirement.
  • Develop controlled environments for training and deploying models, including versioning, lineage, reproducibility, isolation, and audit trails.
  • Implement continuous monitoring frameworks for compliance, drift, bias, hallucinations, and performance degradation.


Leadership & Influence
  • Serve as the enterprise expert for AI controls, helping shape policy, standards, and long-term architecture strategy.
  • Influence and guide senior leaders, engineers, and data scientists toward controlled, compliant AI adoption.


Required Qualifications:
  • 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).


Desired Qualifications:
  • Experience in regulated industries (financial services, healthcare, insurance).
  • Prior involvement with model risk governance or AI ethics programs.
  • Certifications in cloud architecture, data engineering, or AI governance.
  • Experience designing RAG architectures, LLMOps workflows, and GenAI guardrail frameworks.


Core Competencies
  • AI controls design and assessment
  • Enterprise data and AI architecture
  • Risk-based decision making and technology governance
  • Clear communication with executives, auditors, and technical teams
  • Leadership and ability to influence cross-functional groups


Success Measures
  • Enterprise-wide adoption of consistent and effective AI controls
  • Measurable reduction in AI-related risks
  • Strengthened auditability, transparency, and compliance of AI systems
  • Delivery of scalable, secure, and responsible AI architectures
  • Strong partnership with Risk, Compliance, Legal, InfoSec, and Engineering teams

Skills:
  • Architecture
  • Business Analytics
  • Critical Thinking
  • Data Management
  • Data Visualization
  • Consulting
  • Data Modeling
  • Process Design
  • Regulatory Compliance
  • Risk Management
  • Cloud Solutions
  • Collaboration
  • Data Governance
  • Talent Development
  • Technical Strategy Development


Shift:
1st shift (United States of America)

Hours Per Week:
40

About Bank of America Corporation

Bank of America Merrill Lynch is the corporate and investment banking division of Bank of America. It provides services in mergers and acquisitions, equity and debt capital markets, lending, trading, risk management, research, and liquidity and payments management. It was formed through the combination of the corporate and investment banking activities of Bank of America and Merrill Lynch following the acquisition of the latter by the former in January 2009. Bank of America completed the acquisition of Merrill Lynch & Co on 1 January 2009. Bank of America began rebranding all of its corporate and investment banking activities under the Bank of America Merrill Lynch name in September 2009. In April 2010, Bank of America Merrill Lynch appointed Christian Meissner as head of investment banking for Europe, Middle East and Africa. In April 2011, Bank of America Merrill Lynch integrated its corporate and investment banking operations into a single division. In October 2013, Bank of America Merrill Lynch was recognised as the Most Innovative Investment Bank of the Year in The Banker's Investment Banking Awards.

Bank of America Corporation Careers

Join the dynamic team at Bank of America Corporation, a premier global financial institution where innovation, leadership, and growth go hand in hand. As one of the largest banks in the world, we offer unparalleled job opportunities and a culture that values diversity, inclusion, and professional growth. Work You’ll Do At Bank of America Corporation, you’ll be part of a team that’s dedicated to making a real difference. Whether you’re helping families buy their first home, advising businesses on expansion, or developing cutting-edge financial technologies, your work will have an impact. Our commitment to leadership in the financial industry has never been stronger, and we need passionate, skilled professionals to lead our journey. Explore a World of Opportunities From entry-level positions to leadership roles, Bank of America Corporation offers a variety of career paths in areas such as investment banking, technology, marketing, and risk management. Our job opportunities span the globe, providing the chance to work alongside the best in the industry and develop skills that will propel your career forward. Internship Programs Kickstart your career with Bank of America Corporation’s internship programs. These opportunities provide hands-on experience and a chance to engage in meaningful work that complements your academic studies. Interns gain invaluable networking opportunities, receive mentorship from seasoned professionals, and learn about the culture and operations of a global financial leader. Benefits and Growth Bank of America Corporation is committed to the well-being and continuous professional development of our team members. We offer a competitive benefits package that supports the health, financial stability, and work-life balance of our employees. Our training programs and development initiatives ensure that every team member has the opportunity to grow and advance within the company. Inclusive Culture We believe our strength lies in our diversity. Bank of America Corporation fosters an inclusive environment where all employees can thrive. Through diversity training and a commitment to equal opportunities, we cultivate leadership and innovation that reflect the wide-ranging communities we serve. Join Our Team Are you ready to advance your career at a company that’s at the forefront of the financial industry? Explore the positions available at Bank of America Corporation and find where your skills and interests align with our needs. We are continuously hiring and looking for individuals who are curious, creative, and eager to drive change. Stay Connected Keep up to date with the latest from Bank of America Corporation Careers by subscribing to our job alert emails. Tailor your subscription to receive updates that match your career interests and get insider tips that can help you during your application and interview process. Bank of America Corporation is not just a company—it’s a place where you can shape your future and the future of finance. Join us and be part of a team that’s redefining what a bank can be.
Learn more about Bank of America Corporation
Size
208,000 employees
Market Cap
$260.3 billion
Industry
Finance & Insurance
Net Income
$17.8 billion
Founded
1998
5 Year Trend
-1.4%
NASDAQ
BAC
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Bank of America Corporation

More Finance & Insurance Jobs

Find similar Sr Data Architect - AI Controls, Governance & Capabilities jobs:

NationwideCharlotte, NC