engineering teams responsible for designing, developing, and supporting business-critical applications. This role oversees product and feature roadmaps, guides agile delivery practices, manages resource planning and project schedules, mentors software development professionals, and boldly employs AI to deliver high-quality solutions that meet business needs.

Essential Functions and Responsibilities

• Ensure software development teams consistently deliver quality solutions on time, within budget, and within scope.
• Drive the full software development life cycle, including requirements analysis, feasibility estimates, design, coding, documentation, testing, implementation, and support.
• Develop project plans, manage resource planning, oversee scheduling, and monitor development timelines.
• Build, lead, and manage multidisciplinary software engineering teams and AI coding/testing agents, ensuring development processes adhere to industry best practices.
• Oversee the quality and process of design reviews, code reviews, and mentoring efforts to support team growth and technical excellence.
• Support change management processes related to software releases, application patching, and production configuration changes.
• Manage multiple priorities in high-pressure environments while identifying and resolving issues early to reduce project risk, cost, and timeline impacts.
• Provide oversight and management of department expenses, budget planning, and resource allocation.

Knowledge, Skills, and Abilities

• Strong people leadership and management skills, with the ability to engage effectively with staff, colleagues, cross-functional teams, and external partners.
• Ability to drive a culture of quality, ownership, and accountability across development and delivery teams.
• Demonstrated ability to translate complex technical requirements into functional software using industry best practices.
• Expertise in vendor contract management and the management of distributed development teams and resources.
• Expertise in Agile methodologies, including Scrum and test-driven development.
• Experience with application architecture and informed buy-versus-build and interface decision-making.
• Excellent verbal and written communication skills, with the ability to work effectively in both self-managed and team-based Agile/Scrum environments.
• Deep technical knowledge of web applications and web services.
• Solid understanding of cloud services and modern cloud architecture.
• Fluency in multiple AI development tools and frameworks such as Claude Code, Amazon Q, Cursor, GitHub CoPilot.