Technical Project Manager

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. #J-18808-Ljbffr ECF Data