Benefits

401(k)
Employee discounts
Health insurance
Paid time off

Professional Summary

Results-driven Technical Project Manager specializing in AI application development and cloud transformation using the Microsoft Azure ecosystem. Proven track record delivering enterprise-scale solutions leveraging Azure AI Foundry, Azure DevOps, and Microsoft 365 platforms. Adept at managing full project lifecycles—from ideation through deployment—while ensuring alignment with business objectives, security requirements, and user adoption strategies.

Experienced in cross-functional leadership, stakeholder engagement, and execution of complex, time-sensitive initiatives across regulated industries. Strong focus on AI-driven innovation, DevOps practices, and change management frameworks to deliver measurable outcomes

Core Competencies

AI Application Delivery (Azure AI Foundry, Azure OpenAI, Cognitive Services)
Azure DevOps (Boards, Pipelines, Repos, CI/CD)
Cloud Architecture & Azure Platform Services
Agile / Scrum / Hybrid Project Management
Change Management & End-User Adoption
Stakeholder & Executive Communication
Data & AI Governance (Security, Compliance, CUI considerations)
Microsoft 365 & Dynamics 365 Integration
Risk Management & Issue Resolution

Technical Stack

Cloud Platforms: Microsoft Azure (App Services, Functions, AI Services, Storage, Networking)
AI/ML: Azure AI Foundry, Azure OpenAI, Cognitive Services
DevOps: Azure DevOps, Git, CI/CD Pipelines
Business Apps: Dynamics 365, Power Platform
Collaboration: Microsoft Teams, SharePoint, OneDrive
Security & Compliance: Microsoft Defender, Purview (aligned environments)

Professional Experience

Technical Project Manager – AI & Cloud Programs ECF Data

Led delivery of AI-powered applications leveraging Azure AI Foundry, enabling scalable enterprise use cases including automation, analytics, and intelligent workflows
Managed end-to-end project lifecycle: requirements, architecture alignment, sprint execution, testing, and deployment
Directed Azure DevOps implementation, including backlog structuring, sprint planning, and CI/CD pipeline orchestration
Coordinated cross-functional teams (engineering, data science, business stakeholders, and executives) to deliver solutions on time and within budget
Designed and executed AI adoption strategies, including pilot programs, user onboarding, and performance measurement frameworks
Implemented change management processes to ensure smooth transition to AI-enabled systems and maximize user adoption
Developed and maintained project plans, risk logs, and executive reporting dashboards
Facilitated stakeholder engagement plans, ensuring alignment across technical and business units
Led training initiatives for clients and internal teams on Azure-based AI solutions and enterprise applications
Ensured compliance with security, governance, and regulatory standards in cloud and AI deployments

Key Achievements

Delivered multiple AI-enabled Azure solutions improving operational efficiency and decision-making
Reduced deployment timelines through DevOps automation and CI/CD pipeline optimization
Successfully led enterprise adoption campaigns for Microsoft cloud and AI technologies
Improved stakeholder alignment through structured communication and reporting frameworks

Project Management Capabilities

Agile / Scrum execution with Azure DevOps Boards
Full lifecycle AI solution delivery
Stakeholder, communication, and training plan development
KPI tracking, reporting, and continuous improvement
Vendor and partner coordination

Education & Certifications

PMP, Scrum Master, or Agile Certifications
Microsoft Certifications (Azure AI Engineer, Azure Solutions Architect, DevOps Engineer)

Additional Qualifications

7+ years of IT Project Management experience
Strong expertise in Change Management and End User Adoption
Ability to communicate effectively across technical, business, and executive audiences
Experience delivering time-sensitive, high-impact technology initiatives

Location

This is a remote position.

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