Cloud & AI Data Platform Lead

Bank of America; Pennington (AL); On-site; USD 107,000 - 174,000; Full time

Job summary

Bank of America is seeking an experienced technology leader to provide leadership, technical direction, and oversight for a team delivering cloud-based data integration and AI-driven solutions. You will guide design, delivery, and evolution of enterprise data platforms to meet business goals while ensuring secure, scalable, and high-performance outcomes.

You will collaborate with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams to implement data and AI

Qualifications

• 10+ years of hands-on experience in software development.

Responsibilities

• Designs, develops and is accountable for feature delivery
• Applies enterprise standards for solution design, coding and quality
• Ensures solution meets product acceptance criteria with minimal technical debt
• Guides the team on work breakdown and execution
• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria
• Plays a team lead role (as an individual contributor) and mentors the team
• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

Skills

Cloud-Native Data Architecture

AI-Ready Data Engineering

Informatica & Data Integration

DevOps CI/CD & Automation

Architecture

Agile Practices

Data Governance

Observability & Performance

Business Acumen

End-to-End Delivery

Education

Bachelor’s degree or equivalent

Job description

Bank of America is seeking an experienced technology leader to provide leadership, technical direction, and oversight for a team delivering cloud-based data integration and AI-driven solutions. You will guide design, delivery, and evolution of enterprise data platforms to meet business goals while ensuring secure, scalable, and high-performance outcomes.

You will collaborate with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams to implement data and AI