Senior Analyst - Tech Delivery - GenAI team

Bank of America•New York, NY

1d•Onsite

About The Position

Responsible for capturing and supporting delivery of business and/or system requirements (based on specialization) to deliver significant business outcomes. Works with stakeholders to understand needs, capture requirements, perform impact analysis, and works closely with the development team(s) to refine the requirements into actionable specifications. Possesses a deep understanding of the business/technical domain and the main applications within the domain, and provide thought leadership based on the significant experience they have built through multiple software implementations. Influences stakeholder strategy, and understands the needs to help envision and create a solution to solve a problem. Establishes and builds relationships with business and technology leaders across multiple organizations. Leads cost/benefit analysis to align technology solutions to business strategy. Gathers & catalogs functional, non-functional, and technical requirements for stakeholder requests. Acts as the subject matter expert within the business/technical domain to support scope and requirement decisions. Determines the impact of modifications and enhancements to applications across a business/technical domain; assists with identifying integration points and end-to-end solution design. Ensures changes to the application are compliant with bank standards and policies. For vendor applications, works closely with the vendor to ensure changes meet bank requirements, including assisting with acceptance testing where needed. 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. Leads continuous improvement efforts to create, analyze, and improve processes and solutions. Mentors more junior Analysts. 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.

Requirements

Strong ability to evaluate use cases, gather requirements, and translate business needs into clear technical specifications.
Comfortable reviewing Python code, understanding data flows, and analyzing API/integration patterns at a functional–technical level.
Comfort exploring datasets, understanding schema, and performing basic troubleshooting on data-related issues.
Ability to identify platform dependencies, assess capability gaps, and troubleshoot integration issues end‑to‑end.
Skilled at guiding tenant teams through onboarding milestones from ideation to production, ensuring alignment and clarity.
Experience identifying operational inefficiencies and driving improvements in workflows, documentation, and tooling.
Ability to track progress, manage timelines, remove blockers, and shepherd teams through platform onboarding stages.
Clear, concise communication with both technical and non‑technical audiences.
Bachelor's Degree or Equivalent Professional Experience

Nice To Haves

Understanding of LLM concepts, prompt workflows, enterprise GenAI patterns, and responsible AI considerations.
Ability to identify platform capability needs, contribute to feature definition, and think about the platform as a product.
Experience with designing & building lightweight automations, dashboards, or workflow tools to improve scale and transparency.
Familiarity with iterative delivery, backlog management, and cross-functional collaboration processes.

Responsibilities

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.
Mentors more junior Analysts.