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

Bank of America Bank of America · Banking · Charlotte, NC

This role focuses on developing and maintaining automated ETL pipelines, analyzing complex data sources using GenAI tools, designing data models for AI use cases, and driving continuous improvement through AI and automation within Global Markets Operations at Bank of America. The candidate will partner with business stakeholders to translate needs into technical solutions and create documentation, leveraging AI tools throughout the process.

What you'd actually do

  1. 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.
  2. 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.
  3. Design and optimize relational and analytical data models that power actionable insights, enabling downstream reporting, advanced analytics, and AI driven use cases.
  4. 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.
  5. 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.

Skills

Required

  • SQL
  • Autosys, Shell scripting, or Python
  • enterprise data platforms and architectures
  • software version control systems (e.g., Bitbucket / Git)
  • translate high level business needs into technical and data requirements
  • communication skills (verbal, written, and presentation)
  • attention to detail

Nice to have

  • Tableau
  • Alteryx
  • curiosity and aptitude for self directed learning
  • Data mining and advanced analytical experience using SQL and/or SAS
  • reporting data governance
  • Process design or process improvement

What the JD emphasized

  • assess and modernize data and reporting workflows using automation, GenAI copilots, and AI assisted analysis tools
  • leverage AI assisted query generation, optimization, and data exploration
  • applying automation frameworks, low code solutions, or AI enabled scripting tools
  • support AI ready, analytics friendly data designs
  • collaboration with teams developing automated, analytics, and AI enabled solutions
  • leveraging GenAI tools to accelerate requirements gathering, prototyping, and solution design
  • automated, AI assisted, or analytics driven outputs in a controlled enterprise environment

Other signals

  • AI assisted data preparation tools
  • GenAI tools and copilots
  • AI driven use cases
  • GenAI, automation, and low code tools
  • AI assisted documentation
  • AI capabilities
  • AI assisted query generation
  • AI enabled scripting tools
  • AI ready, analytics friendly data designs
  • AI enabled solutions
  • AI assisted analysis tools
  • AI driven analytics
  • AI assisted pattern recognition
  • AI augmented visual insights