IT Project Manager - NDS

Job Responsibilities

• 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.
• 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.
• Affords assessments, 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.

Education

• 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.

Experience

• Demonstrated experience leading technical project teams comprised of software developers, cloud engineers, architects, QA engineers, and business analysts, preferably in a matrixed organization.
• Hands-on experience managing full-cycle application development.
• 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.

Competencies – Skills/Knowledge/Abilities

• Ability to manage projects from inception through successful post-implementation, including lessons learned and transition to support.
• Demonstrated competency in developing effective solutions to successfully resolve diverse and complex business and technical problems.
• Familiarity with modern development practices including CI/CD pipelines, DevOps principles, containerization (Docker/Kubernetes), and API-driven architectures.
• Demonstrated use of AI tools in a professional project delivery context; ability to coach and encourage team members on AI-assisted workflows.
• Comfort with ambiguity in emerging technology spaces — particularly AI and cloud — where methodologies and best practices continue to evolve rapidly.
• Strong analytical, communications, technical teamwork, and interpersonal skills.
• Proficiency in Jira, Confluence, and SharePoint; experience with other database utilities and Microsoft technologies preferred.
• Ability to bridge the gap between technical teams and business stakeholders, ensuring alignment and clarity throughout the project lifecycle.
• Affords assessments, tracks, and manages project risks, dependencies, and issues with a proactive and structured approach.