Analyst II - Tech Delivery - GenAI Team

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 capturing and refining business or system requirements that may involve a software change. Key responsibilities include working with stakeholders to understand their needs, analyzing problems, capturing requirements, creating solutions, solving problems either manually or through software, and providing subject-matter expertise on products to support scope and requirement decisions. Job expectations include collaborating with project stakeholders to analyze and confirm requirements, creating, analyzing, and improving processes and writing user and technical stories. Job Profile Summary Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales Trading, Quantitative Strategies Data Group (QSDG) Platform teams to the design and buildout its global GenAI platform. The platform will cater to a rapidly growing number of use cases that harness the power of GenAI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. Lead analysis and delivery support for technology initiatives, partnering with business and engineering teams to drive execution, governance and outcomes. Oversees planning, tracking and stakeholder communication to ensure successful implementation of solutions. Responsibilities: Understands stakeholder needs to help envision and create a solution to solve a problem Supports cost and benefit analysis to align technology solutions to business strategy Gathers and catalogs functional, non-functional, and technical requirements for stakeholder requests Identifies the impact of modifications and enhancements to applications and assists with identifying integration points and the end-to-end solution design Assists users and development teams in application testing and troubleshooting, and may help with test planning and configuring test solutions to validate functional and system needs Documents processes, procedures and workflows for technology as needed Analyze incoming use cases to understand business goals, map technical requirements, and identify platform dependencies or capability gaps. Shepherd tenant teams through the end‑to‑end onboarding journey, ensuring smooth integration with platform services and alignment with best practices. Review technical workflows—including Python code where needed—to diagnose issues, validate assumptions, and determine when to engage SMEs. Monitor and troubleshoot integration & operational challenges across data flows, APIs, and platform components to support timely progression toward production release. Identify and drive process improvements, tooling enhancements, and automation opportunities to scale onboarding efficiency and increase transparency for tenant teams. Required Qualifications • Business Analysis: Strong ability to evaluate use cases, gather requirements, and translate business needs into clear technical specifications. • Technical Acumen: Comfortable reviewing Python code, understanding data flows, and analyzing API/integration patterns at a functional–technical level. • Data Literacy: Comfort exploring datasets, understanding schema, and performing basic troubleshooting on data-related issues. • Project/Delivery Coordination: Ability to track progress, manage timelines, remove blockers, and shepherd teams through platform onboarding stages. • Structured Communication: Clear, concise communication with both technical and non‑technical audiences. Desired Qualifications • Generative AI Familiarity: Understanding of LLM concepts, prompt workflows, enterprise GenAI patterns, and responsible AI considerations. • Product Mindset: Ability to identify platform capability needs, contribute to feature definition, and think about the platform as a product. • Integration & Systems Thinking: Ability to identify platform dependencies, assess capability gaps, and troubleshoot integration issues end‑to‑end. • Stakeholder Management: Skilled at guiding tenant teams through onboarding milestones from ideation to production, ensuring alignment and clarity. • Process Optimization: Experience identifying operational inefficiencies and driving improvements in workflows, documentation, and tooling. • Automation & Tooling: Experience with designing & building lightweight automations, dashboards, or workflow tools to improve scale and transparency. • Agile / SDLC Experience: Familiarity with iterative delivery, backlog management, and cross-functional collaboration processes. Skills: Agile Practices Analytical Thinking Business Acumen Collaboration Solution Delivery Process Influence Result Orientation Risk Management Solution Design Stakeholder Management Data Management Financial Management Technical Strategy Development User Experience Design Minimum Education Requirements: Bachelor's Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NY - New York - 1100 Ave Of The Americas - Two Bryant Park (NY1540) Pay and benefits information Pay range $89,000.00 - $151,800.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits 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. Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency -

Privacy Statement -