Technical Project Manager

Position: Technical Project Manager

Location: Orlando, FL

Duration:6+months


Role Overview:


The Technical Project Manager is responsible for planning, coordinating, and delivering complex technical projects across cross-functional teams. This role serves as the bridge between business stakeholders, engineering teams, product management, and operations to ensure projects are delivered on time, within scope, and aligned with organizational objectives. The ideal candidate should possess strong technical expertise in .NET full-stack application development and have proven experience leading AI/GenAI-driven project deliveries from conception through production deployment.


Key Responsibilities:

Lead end-to-end project planning, execution, monitoring, and delivery of technical initiatives.

Define project scope, objectives, timelines, milestones, and success criteria.

Collaborate with engineering, product, architecture, QA, security, and operations teams to drive project execution.

Manage project schedules, dependencies, risks, issues, and resource allocation.

Facilitate project governance meetings, status reviews, and stakeholder communications.

Track project progress and provide regular updates to leadership and key stakeholders.

Identify and mitigate project risks, ensuring timely resolution of blockers.

Drive continuous improvement in project management processes, tools, and methodologies.

Ensure alignment between business goals and technical implementation.

Support release planning, deployment readiness, and post-implementation reviews.

Provide technical leadership and guidance for .NET full-stack application projects, including frontend, backend, API, and cloud-based solutions.

Partner with engineering teams to review solution architecture, technical design, and implementation approaches.

Lead and manage AI/ML/Generative AI project initiatives, ensuring successful delivery, adoption, governance, and measurable business outcomes.

Coordinate AI solution lifecycle activities including data readiness, model development, validation, deployment, monitoring, and continuous improvement.

Drive stakeholder alignment on AI strategy, use cases, success metrics, and responsible AI practices.


Required Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

5+ years of project or program management experience in technology organizations.

Strong understanding of software development lifecycle (SDLC), Agile, Scrum, and Waterfall methodologies.

Experience managing cross-functional teams and multiple concurrent projects.

Excellent communication, stakeholder management, and leadership skills.

Strong analytical, problem-solving, and decision-making abilities.

Experience with project management tools such as Azure DevOps, Jira, Microsoft Project, or similar platforms.

Strong hands-on knowledge of .NET full-stack technologies, including C#, ASP.NET Core, Web APIs, SQL Server, frontend frameworks, and cloud-native application development.

Experience delivering AI, Machine Learning, Generative AI, Copilot, or intelligent automation solutions in enterprise environments.

Ability to effectively engage with architects and engineering teams on technical design, scalability, security, and performance considerations.




Preferred Qualifications:

PMP, PMI-ACP, Scrum Master, or equivalent certification.

Experience working with cloud technologies, enterprise applications, and large-scale system implementations.

Background in software engineering or technical architecture.

Experience managing global or distributed teams.

Experience with Azure AI Services, OpenAI, Machine Learning platforms, or enterprise AI solution implementations.

Prior hands-on development experience in .NET full-stack environments.


Key Competencies:

Project Planning and Execution

Stakeholder Management

Risk and Issue Management

Agile Project Delivery

Technical Understanding

.NET Full-Stack Knowledge

AI/GenAI Project Delivery

Communication and Collaboration

Leadership and Influence

Strategic Thinking


Success Metrics:

On-time project delivery

Budget and resource utilization effectiveness

Stakeholder satisfaction

Risk mitigation effectiveness

Quality of project outcomes

Successful delivery and adoption of AI-driven solutions

Team collaboration and engagement