Job Description:

Our client is looking for a Director of Quality Assurance to join their team. The Director of Quality Assurance will lead the transformation and maturation of the Bank’s QA function, establishing a center of excellence that drives consistency, automation, and governance across all IT and digital solutions. This role is critical to accelerating the Bank’s digital transformation, ensuring the delivery of high-quality, secure, and scalable solutions through modern, integrated quality assurance practices. The Director of Quality Assurance will be responsible for defining and executing a forward-looking QA strategy, building and leading a high-performing team, and partnering with IT and business leaders to embed quality throughout the software development lifecycle (SDLC). This role will champion the integration of AI-driven testing methodologies and oversee the formal documentation, ongoing maintenance, and continuous improvement of QA standards and procedures as an integral component of the Bank’s SDLC.

How you'll make an impact:

• Accelerates time-to-value for the Bank’s digital roadmap by standing up an enterprise QA Center of Excellence with standardized processes, AI-enabled testing, and modern automation frameworks, shrinking test cycles, reducing manual effort, and enabling faster, safer, and more predictable releases across all technology solutions.
• Reduces operational and financial risk by embedding quality throughout the SDLC (shift-left), strengthening environment management and secure test data practices, and improving governance, driving fewer production defects, lower remediation and rework costs, and higher reliability and scalability of critical systems.
• Strengthens regulatory confidence and stakeholder experience through consistent enterprise QA standards and compliance-aligned controls, while building and mentoring a high-performing QA organization, resulting in improved audit readiness, greater delivery transparency, and a better member and employee experience from more stable, higher-quality products.

What you can expect:

• Define and execute a comprehensive QA strategy that elevates and matures quality assurance practices across the Bank.
• Champion a quality-first culture, driving organizational change and continuous improvement in QA maturity.
• Establish and lead a QA Center of Excellence, driving adoption of best practices, automation, and governance.
• Lead the evaluation, selection, and implementation of AI-powered testing tools and frameworks to enhance test coverage, efficiency, and defect prediction.
• Design and implement robust, automated, and integrated QA processes for complex digital solutions.
• Lead the adoption of advanced test automation frameworks and integration with CI/CD pipelines.
• Oversee planning, provisioning, and maintenance of diverse testing environments (e.g., SIT, UAT) to enable parallel testing and reduce delivery bottlenecks.
• Ensure secure, efficient test data management strategies across multiple environments for consistency and compliance.
• Partner with IT and business leaders to embed quality and compliance requirements into every phase of the SDLC.
• Develop, formalize, document and maintain comprehensive QA standards and procedures as part of the Bank’s SDLC.
• Build, mentor, and lead a high-performing QA, introducing modern frameworks and tools to enable continuous testing.
• Oversee hiring, development, and performance management of QA resources.
• Ensure cross-training and professional growth opportunities for team members.
• Provide technical and project leadership in application testing, defect resolution, and best practices.
• Develop and implement processes and procedures to improve operating efficiencies and value to the business.
• Stay current with emerging trends in AI for QA and proactively introduce innovative solutions to the enterprise.
• Develop and maintain metrics-driven quality dashboards to provide transparency and actionable insights for delivery teams and leadership.
• Gives input on department annual budget expenditures.

What you'll bring:

• Bachelor’s degree in business, computer science, or related field (or equivalent experience).
• 15+ years of progressive QA experience, including 5+ years in QA leadership roles.
• Demonstrated success in leading enterprise-wide QA transformation initiatives.
• Deep expertise in designing and implementing test automation strategies across complex, multi-platform environments.
• Comprehensive experience in functional, regression, integration, performance, and load testing.
• Experience with AI-driven testing tools and methodologies.
• Strong leadership in building QA teams and driving cultural change.
• Experience in secure, efficient test data management and environment provisioning.
• Deep understanding of QA governance, compliance, and risk management in regulated environments.
• Excellent communication, stakeholder engagement, and change management skills.
• In-depth understanding of software quality assurance principles, methodologies, and best practices, including test automation, AI-driven testing, and continuous integration/continuous delivery (CI/CD).
• Strong knowledge of the software development lifecycle (SDLC) and how QA integrates at each stage.
• Deep understanding of best practices in Test Data Management (TDM), including secure provisioning, masking, and maintenance of test data across multiple environments to ensure consistency, compliance, and data privacy.
• Expertise in region/environment management, including planning, provisioning, and maintaining diverse testing environments (e.g., SIT, UAT, production mirrors) to support parallel testing, minimize bottlenecks, and enable effective release management.
• Familiarity with strategies for environment configuration, version control, and automation to optimize testing efficiency and reliability.
• Comprehensive understanding of agile methodologies and frameworks (e.g., Scrum, Kanban), with the ability to adapt QA strategies and processes to iterative development cycles.
• Ability to evaluate and select appropriate tools, technologies, and frameworks to support QA objectives.
• Ability to foster collaboration between QA, development, and business teams, support continuous integration and delivery, and ensure quality is embedded throughout agile ceremonies and sprints.
• Ability to analyze complex problems, identify root causes, and implement effective solutions.
• Ability to lead organizational change and foster a culture of quality and accountability.
• Ability to interpret and apply regulatory requirements to QA processes and documentation.
• Must have outstanding communication (verbal, written, and listening) skills and be able to engage effectively with individuals at all levels of the organization.
• Demonstrated ability to be a self-starter, work independently, and collaborate within high-performing teams.
• High level of integrity, dependability, and attention to detail.
• Exceptional time management, leadership, and team development capabilities.
• Proven negotiation and conflict resolution skills.

Salary: $210,000 - $250,0100 (depends on experience level).  

Benefits: Medical, PTO, 401(k), and more.

About Us

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 27 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

• Helping every client make the best hiring decisions possible
• Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca):

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

• Transcribe interviews
• Summarize candidate responses
• Generate job-related insights
• Streamline communication and scheduling

Please note that:

• The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.
• The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.