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Bank of America

Senior Technology Manager

Bank of America

Senior Technology Manager for Bank of America building technology teams and strategies. Leading quality engineering function with a focus on automation and AI-driven practices.

Posted 6/11/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesSenior💰 $135,900 - $220,000 per yearWebsite

Tech Stack

Tools & technologies
CypressSDLCSelenium

About the role

Key responsibilities & impact
  • This job is responsible for building and leading a team to deliver technology products and services that meet business outcomes.
  • Key responsibilities include developing a technology strategy, ensuring technology solutions comply with applicable standards, promoting design, engineering, and organizational practices, and advocating and advancing modern, Agile solution delivery practices.
  • Responsibilities: The Testing Manager is responsible for leading and evolving the quality engineering function with a strong focus on reducing testing toil and improving product quality through intelligent automation and AI‑driven practices.
  • This role will own test strategy, execution, and continuous improvement across the SDLC, while introducing pragmatic applications of Artificial Intelligence to increase test effectiveness, speed, and coverage.
  • The manager will lead and mentor a team of testers and automation engineers, partner closely with development and product teams, and drive measurable improvements in quality, cycle time, and release confidence.
  • Success in this role requires a balance of strong testing fundamentals, technical depth, leadership capability, and the ability to translate AI innovations into practical value for the organization.

Requirements

What you’ll need
  • 5+ years of experience in software quality assurance, with at least 3 years leading test teams across complex systems
  • Demonstrated hands‑on experience modernizing testing practices, including test automation, CI/CD integration, and shift‑left testing
  • Strong understanding of how Artificial Intelligence and Machine Learning can be applied to software testing, including: – Intelligent test case generation and prioritization, Defect prediction and risk‑based testing, Test data generation and synthetic data strategies, Reducing manual regression toil through AI‑assisted automation
  • Proven ability to evaluate, pilot, and scale AI‑enabled testing tools and frameworks (commercial or open‑source), with a clear focus on measurable outcomes such as reduced cycle time, improved coverage, and higher defect detection efficiency.
  • Solid technical foundation in automation frameworks (e.g., Selenium, Playwright, Cypress, REST API testing, performance testing), with enough technical depth to guide architecture decisions and code quality.
  • Experience partnering with development, product, and platform teams to embed quality and AI‑driven testing practices into the SDLC rather than treating testing as a downstream activity.
  • Strong data‑driven mindset, with the ability to define quality metrics, analyze testing signals, and use insights to continuously improve testing effectiveness.
  • Demonstrated leadership in change management — capable of upskilling existing teams, influencing stakeholders, and pragmatically introducing AI without disrupting delivery or creating unnecessary risk.
  • Excellent communication skills, with the ability to translate AI concepts into clear business value for senior leadership and actionable guidance for engineers.

Benefits

Comp & perks
  • industry-leading benefits
  • access to paid time off
  • resources and support to our employees

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
software quality assurancetest automationCI/CD integrationshift-left testingArtificial IntelligenceMachine Learningautomation frameworksSeleniumPlaywrightCypress
Soft Skills
leadershipcommunicationchange managementdata-driven mindsetmentoringinfluencing stakeholderscollaborationanalytical skillsproblem-solvingstrategic thinking