Sr Data Architect - AI Controls, Governance & Capabilities
Bank of America
- Location
- Charlotte
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 278 approvals (FY2023)
- Posted
- Sep 2, 2026
About this role
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!
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. The Senior AI Controls Lead is responsible for leading the design, implementation, assessment, and continuous improvement of AI control capabilities across Global Technology (GT). This role partners with technology, risk, compliance, information security, legal, and governance teams to ensure AI solutions are developed, deployed, and operated in a secure, compliant, and responsible manner. Key responsibilities include establishing AI control requirements, assessing AI solutions and platforms against enterprise standards, identifying control gaps and remediation strategies, and driving adoption of consistent AI governance practices across Global Technology. The ideal candidate combines expertise in artificial intelligence, governance, risk management, technology controls, and regulatory compliance with a deep understanding of emerging AI risks and control requirements in highly 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,