Note: The job is a remote job and is open to candidates in USA. ECF Data is an innovative technology company offering Microsoft Cloud Services, and they are seeking a Technical Project Manager specializing in AI application development and cloud transformation. The role involves managing the full project lifecycle while ensuring alignment with business objectives and user adoption strategies.
Responsibilities
- 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
Skills
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
- PMP, Scrum Master, or Agile Certifications
- Microsoft Certifications (Azure AI Engineer, Azure Solutions Architect, DevOps Engineer)
Benefits
- 401(k)
- Employee discounts
- Health insurance
- Paid time off
Company Overview