Data Architect

Bank of America - Charlotte, NC

Full-time - Mid Level

Charlotte, NC

Credit Intermediation and Related Activities

About the position

The EIT Data Architect at Bank of America is responsible for executing data architectural solutions for complex initiatives across multiple Lines of Business and control functions. This role involves facilitating discussions, ensuring adherence to enterprise data management policies, and supporting architecture design reviews. The architect will educate data management teams on principles and processes while managing relationships with business and technology partners to create an inclusive working environment.

Responsibilities

• Partner with various technology teams to establish data solutions and architecture for large, complex initiatives that align with the enterprise data architecture strategy.
• Develop clear and concise responses to questions from senior management and control partners regarding the enterprise data architecture strategy.
• Manage multiple priorities in a matrixed environment with attention to detail and accuracy.
• Communicate effectively to influence agreement between partners and escalate items as needed to ensure execution activities remain on track.
• Ensure all relevant risk, financial, and compliance policies and standards are met.
• Manage relationships with business and technology partners and create an inclusive and healthy working environment to resolve organizational impediments and blockers.
• Educate data management teams on enterprise data architectural principles, processes, and routines.

Requirements

• Bachelor's degree or above in fields such as Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration.
• 8+ years of relevant work experience.
• Strong written, verbal, presentation creation and delivery skills.
• Experience designing, developing, and applying scalable software solutions.
• Programming experience via Python and SQL and possibly other languages.

Nice-to-haves

• Experience with Software Development Lifecycle.
• Good understanding of a wide range of tools and ability to evaluate appropriateness as a solution for a given problem.

Benefits

• Competitive benefits to support physical, emotional, and financial well-being.