This leadership role requires an experienced QA Manager to drive quality engineering initiatives for Morningstar Indexes applications. You will define the overall quality strategy, test automation vision, and quality engineering practices across various teams and products. The ideal candidate will partner with Engineering Managers, Product Managers, Architects, and Business Stakeholders to deliver high-quality, scalable, and reliable software solutions.
Responsibilities
Define and drive the overall QA and Quality Engineering strategy across multiple applications, products, and delivery teams
Lead, mentor, and develop a team of QA engineers and QA automation engineers, fostering technical excellence and continuous improvement
Establish quality standards, testing processes, metrics, and governance frameworks to ensure consistent product quality
Drive automation-first testing practices and oversee the design, implementation, and maintenance of scalable automation frameworks
Partner with Engineering, Product, and Business teams to embed quality throughout the software development lifecycle
Own test planning, estimation, execution strategy, release readiness, and quality sign-offs across multiple initiatives
Develop and monitor quality KPIs, including test coverage, automation effectiveness, defect leakage, release quality, and production stability
Ensure robust testing coverage across UI, API, database, integration, and end-to-end workflows
Lead root cause analysis of production issues and drive preventative quality improvements
Collaborate with architects and engineering leaders to improve application testability, observability, and reliability
Drive adoption of modern testing practices including shift-left testing, continuous testing, risk-based testing, and AI-assisted quality engineering
Review and optimize QA resource allocation, priorities, and delivery commitments across multiple projects and squads
Act as the primary quality stakeholder for audits, compliance reviews, and leadership reporting
Support organizational initiatives related to DevOps, CI/CD, cloud migration, platform modernization, and operational excellence
Build and maintain strong relationships with technology leaders and business stakeholders to ensure alignment on quality objectives
Requirements
10+ years of experience in Software Quality Engineering with at least 3+ years in a QA leadership or management role
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
Proven experience leading distributed QA teams in Agile environments
Demonstrated success in driving enterprise-wide test automation and quality transformation initiatives
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Strong experience designing and managing enterprise-scale automation frameworks
Hands-on knowledge of Selenium, Playwright, REST Assured, or similar automation technologies
Strong programming experience in Java and working knowledge of Python
Expertise in API, database, integration, and end-to-end testing methodologies
Strong SQL skills for data validation and complex data analysis
Deep understanding of software testing principles, quality engineering practices, and SDLC methodologies
Experience integrating automated testing into CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent tools
Experience working with Git-based source control and modern software delivery practices
Good understanding of microservices architecture, distributed systems, and cloud-native applications
Experience establishing quality metrics, dashboards, and reporting frameworks
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
Knowledge of test environment management, service virtualization, and test data management practices
Strong leadership, people management, and coaching skills
Excellent stakeholder management and executive communication abilities
Proven ability to influence cross-functional teams and drive quality adoption across engineering organizations
Strong analytical, problem-solving, and decision-making capabilities
Ability to balance strategic planning with tactical execution
Experience managing multiple priorities in a fast-paced environment
Strong conflict resolution, negotiation, and collaboration skills
Passion for continuous improvement, innovation, and building a quality-first culture
Excellent understanding of Agile, Scrum, and DevOps methodologies
Nice to have:
Experience in Financial Services, Capital Markets, Asset Management, or Indexes domains
Exposure to performance, scalability testing practices
Experience implementing AI-powered testing solutions, autonomous testing tools, or AI-assisted development workflows
Experience leading quality transformation initiatives within large-scale enterprise organizations
About the Company
The Morningstar Indexes Team leverages its expertise in equity research, manager research, asset allocation, and portfolio construction to create innovative investment solutions. It uses Morningstar's intellectual property to create indexes that empower investors to achieve their goals at every stage of the investment process, including market monitoring, benchmarking, and asset allocation. The unit offers a broad suite of global equity, fixed income, commodity, and asset allocation indexes.
