Ops Professional MKTS - Global Markets Shared Operations & Corporate Treasury Operations| Data, Business Intelligence and AI Lead

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 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!
 

Job Description:
This job is responsible for providing analytical support in a Global Markets Operations function for one or more operations product areas. Key responsibilities include analyzing and resolving highly complex operations problems and initiatives requiring exceptional handling and coordination of multiple operational and/or product specialists to resolve. Job expectations include managing projects and the introduction of new initiatives, systems, products, services, and processes and coordinating necessary expertise across multiple operations functions and products.

LOB Job Description:

Global Markets Shared Operations and Corporate Treasury Operations is seeking an AI‑ and data‑driven Associate to help shape the future of our organization. This role partners closely with the business to drive continuous improvement through advanced data analytics, strategic insights, and the thoughtful adoption of AI tools and automation. The ideal candidate is curious, innovative, and motivated to modernize how work gets done at scale.

Responsibilities:

• Develop and maintain automated, scalable ETL pipelines across diverse data platforms, leveraging automation frameworks, low code solutions, and AI assisted data preparation tools to deliver reliable, “fit for use” relational datasets.
• Analyze and synthesize complex data sources including relational databases, dimensional models, and cubes, applying GenAI tools and copilots to accelerate exploration, pattern detection, and root cause analysis.
• Design and optimize relational and analytical data models that power actionable insights, enabling downstream reporting, advanced analytics, and AI driven use cases.
• Partner closely with business stakeholders to translate business questions into technical and analytical solutions, using GenAI copilots to accelerate requirements gathering, prototyping, and solution design.
• Create and maintain high quality technical and business documentation, including metadata, data lineage, workflows, and desktop procedures, enhanced through AI assisted documentation and knowledge management tools.
• Drive continuous improvement and innovation by identifying opportunities to apply GenAI, automation, and low code tools to streamline processes, reduce manual effort, and improve data quality and speed to insight.
• Collaborate within a cross functional, agile team environment, actively sharing learnings, experimenting with emerging AI capabilities, and providing clear, regular updates on project progress and outcomes.

Required Qualifications:

• Bachelors Degree or 5+ years of experience in systems functional analysis and technology business analysis, with the ability to assess and modernize data and reporting workflows using automation, GenAI copilots, and AI assisted analysis tools.
• Advanced proficiency in SQL, including the ability to leverage AI assisted query generation, optimization, and data exploration to accelerate insights across large and complex datasets.
• Intermediate proficiency in Autosys, Shell scripting, or Python, with experience applying automation frameworks, low code solutions, or AI enabled scripting tools to streamline data pipelines and operational processes.
• Strong understanding of enterprise data platforms and architectures, including The W, MS SQL Server, Oracle, Hadoop, Teradata, and the Strategic Data Platform (SDP), with the ability to support AI ready, analytics friendly data designs.
• Working knowledge of software version control systems (e.g., Bitbucket / Git), including collaboration with teams developing automated, analytics, and AI enabled solutions.
• Proven ability to translate high level business needs into technical and data requirements, leveraging GenAI tools to accelerate requirements gathering, proto