Solution Architect

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for defining an architectural vision and solution aligned to the enterprise architecture strategy, technology, and platform choices. Key responsibilities include describing the solution intent/associated operating environment, evaluating system impacts, determining the primary systems/sub-systems and their interfaces, and assisting with end-to-end solution design. Job expectations include defining non-functional requirements/architectural runway to support new epics/features and ensuring solutions are fit for purpose by working with stakeholders and service providers.

Overview:

A technology architect responsible for driving solution architecture and overseeing complex implementation initiatives across the GBISE portfolio. This role ensures end‑to‑end delivery of data, analytics, and sales‑enablement capabilities that support global banking teams. The candidate will define technical roadmaps, align solutions with enterprise architecture standards, manage cross‑functional execution, and partner with business, product, and engineering stakeholders to deliver scalable, high‑impact platforms that enhance client insights and frontline productivity.

Responsibilities:

• Consults with the business and operations to identify and understand challenges and opportunities to improve the use and effectiveness of technology, find creative solutions through knowledge of the domain, practical experiments, and Proof of Concepts, and aligns the solution intent and architectural vision to an evolving backlog of technology change
• Works with product management and other stakeholders to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features
• Performs design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)
• Leads rapid shaping of a high level architecture with details filled in with emerging business requirements and ensures architecture is flexible, modular, and designed to adapt easily
• Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
• Clarifies the architecture and assists with system design for the development teams to support implementation and provides solution options to resolve any architectural impediments
• Utilizes the defined best practices, templates, and documentation to create architectural designs and suggests improvements to best practices and templates

Required Qualifications:

• 3+ years of experience in data science or a related field
• Proficiency in programming languages such as Python, JavaScript, .NET and SQL
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong knowledge of statistical methods and data analysis techniques
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib
• Bachelor’s degree or equivalent work experience, preferably in a Computer Science, Statistics, Mathematics, or a related field

Desired Qualifications:

• Familiarity with big data technologies (e.g., Hadoop, Hive, Spark, Salesforce Data Cloud)
• Excellent problem-solving and communication skills

Skills:

• Analytical Thinking
• Architecture
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Collaboration
• Data Management
• DevOps Practices
• Risk Management
• Agile Practices
• Automation
• Influence
• Solution Delivery Process
• Test Engineering

Shift:

1st shift (United States of America)

Hours Per Week:

40