Senior Technology Manager

Bank of America•Jersey City, NJ

15h•Onsite

About The Position

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Position Summary: 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. Job expectations may include coaching, mentoring, providing feedback and hands on career development, identifying emerging talent, fostering leadership skills, and managing stakeholders.

Requirements

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.

Nice To Haves

Experience working in regulated or high‑reliability environments where test quality, traceability, and explain-ability matter.
Prior experience building or leading a Quality Engineering transformation initiative.
Influence
Risk Management
Solution Design
Stakeholder Management
Technical Strategy Development
Analytical Thinking
Application Development
Collaboration
Result Orientation
Solution Delivery Process
Agile Practices
Architecture
Automation
Data Management
DevOps 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.
Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees/teams to address feedback and achieve quality and performance objectives
Facilitates performance and career development of employees/teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills
Manages solution delivery and application performance in production (app health, resiliency, performance, security, enterprise data management standards, audit exams and reviews), ensuring all relevant risk, financial, and compliance policies are met
Manages relationships with business and technology partners and leads and creates followership in Communities of Practice in the organization
Contributes to the technology strategy for their technical domain
Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers
Ensures that execution is aligned with product strategy by working with product management and other stakeholders
Own QA budget, staffing, and resource allocation to support both initiative and BAU applications
Partner with Development, Product, and Delivery leaders to plan, execute, and release with quality built in
Ensure applications receive appropriate test coverage regardless of annual initiative funding
Define and execute the overall QA strategy aligned with enterprise SDLC and governance standard
Foster a continuous learning culture where testers are true system SME
Drive a shift‑left, automation‑first testing mode
Embed QA early in grooming, design, and story definition
Ensure functional testing, automation, and end‑to‑end testing are integrate
Own test automation frameworks across UI, API, data, and integration
Leverage AI to improve test creation, maintenance, test data management, and efficiency
Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
Assesses talent and builds bench strength for roles across the organization.
Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.