Senior Manager of Software Engineering

Senior Technology Manager, Indexes Technology The Team Morningstar Indexes combines deep expertise in equity research, manager research, asset allocation, portfolio construction, and modern technology to create investment solutions that support market monitoring, benchmarking, asset allocation, and client delivery. The team offers a broad suite of global equity, bond, commodity, and asset allocation indexes, and is actively modernizing critical platforms to improve resilience, scalability, automation, data quality, and delivery speed. The Role We are looking for a Senior Technology Manager to lead engineering delivery for strategic platform modernization initiatives within Morningstar Indexes. This role will help modernize critical applications, strengthen cloud-based architecture, improve QA/QC and data-quality controls, and build reusable engineering patterns for future technology transformation initiatives. The ideal candidate is a hands-on technology leader who can operate across architecture, delivery, engineering management, stakeholder alignment, and AI-enabled software development. This person will partner closely with product, operations, research, QA, architecture, security, and global engineering teams to deliver high-quality outcomes with strong execution discipline and minimal client disruption. Responsibilities Lead one or more engineering workstreams focused on platform modernization, cloud adoption, application resiliency, QA/QC modernization, data-quality automation, and operational readiness. Own technical execution across engineering squads and ensure delivery plans are aligned to business priorities, architecture decisions, product needs, security requirements, and acceptance criteria. Act as a software and architecture steward by driving sound engineering practices, scalable design, code quality, observability, resiliency, performance, security, and responsible technical-debt management. Manage and develop a team of software engineers, QA engineers, automation engineers, and scrum master(s), building a high-accountability culture focused on ownership, predictability, quality, and continuous improvement. Partner with product owners, business analysts, operations, QA/QC, architecture, security, infrastructure, and global stakeholders to clarify requirements, remove blockers, manage risks, and support release readiness. Drive AI-assisted engineering practices across the team, including responsible use of AI tools for code generation, code review, test creation, documentation, knowledge capture, technical analysis, and developer productivity. Establish repeatable engineering playbooks, validation patterns, automation frameworks, and standards that can be reused across products and future modernization initiatives. Promote transparent communication through clear status reporting, milestone tracking, decision logs, risk management, and stakeholder-ready updates for leadership and delivery teams. Requirements