Manages and directs project teams to meet project objectives, with a focus on custom software development, system integration, and cloud-based initiatives.
Leads technical project teams through the full Software Development Lifecycle (SDLC), including application design, development, testing, and deployment phases.
Manages application cloud migration projects, coordinating across infrastructure, architecture, development, and security teams to ensure successful transitions.
Champions the adoption of AI tools within the project team to drive team efficiency, and leads projects where AI capabilities are being developed, integrated, or operationalized.
Reviews, evaluates, and formulates project plans, schedules, and budgets; identifies and negotiates milestones, resource requirements, and tradeoffs to meet project objectives.
Oversees requirements solicitation, refinement, and definition for assigned projects; ensures technical requirements are clearly understood and traceable throughout delivery.
Partners with enterprise architects and technical leads to ensure proposed solutions align with organizational standards, cloud architecture patterns, and long-term scalability needs.
Manages staff and budget resources required to meet changing corporate priorities and project demands.
Leads problem resolution and decision-making through facilitation, structured troubleshooting, and escalation management.
Organizes and guides project operations using Agile or hybrid methodologies appropriate to the technical complexity and scope of the work.
Evaluates and reports project progress in terms of quality, performance, and delivery metrics common to IT and software development projects.
Works with various departments to coordinate systems testing, deployment, training, and post-implementation support.
Assesses, tracks, and manages project risks, dependencies, and issues; communicates status clearly and consistently to stakeholders at all levels.
Bridges the gap between technical teams and business stakeholders, ensuring alignment, shared understanding, and clarity throughout the project lifecycle.
Requirements
Bachelor's degree in information science or related field and/or equivalent combination of education and experience.
PMP or PMI-ACP certification preferred.
Coursework or certifications in cloud platforms (AWS, Azure, GCP) or AI/ML fundamentals are a plus.
Demonstrated experience leading technical project teams comprised of software developers, cloud engineers, architects, QA engineers, and business analysts, preferably in a matrixed organization.
Experience with application cloud migration projects (lift-and-shift, re-platforming, or re-architecting) is strongly preferred.
Demonstrated ability to use AI productivity tools (such as GitHub Copilot, Claude, ChatGPT, or similar) to increase personal and team efficiency in a professional setting.
Experience leading projects where AI or machine learning capabilities were being built, integrated, or deployed is a significant differentiator.
Expert-level experience working with Jira, Confluence, SharePoint, and Excel for project tracking, documentation, reporting, and resource management.
Strong background in software development and technology is required. The ideal candidate will have hands-on familiarity with modern development practices, technical architecture, and a working understanding of IT infrastructure and cloud environments.