Must-Haves
- 5–10 years of project management experience
- Experience managing the full project lifecycle from project definition and planning through implementation and deployment
- Experience leading enterprise-scale Microsoft Azure and artificial intelligence initiatives
- Strong project planning experience, including project plans, schedules, milestones, dependencies, and resource allocation
- Experience managing project scope, cost, schedule, budget, risk, and quality
- Ability to manage multiple concurrent projects and drive delivery within established timelines and budgets
- Experience preparing project documentation, executive status reports, presentations, forecasts, and budgets
- Experience establishing project governance, reporting cadences, and escalation processes
- Strong change management experience throughout the project lifecycle
- Proficiency with Microsoft Project, Visio, Excel, and Word
- Excellent written and verbal communication, negotiation, leadership, decision-making, analytical, and problem-solving skills
- Strong stakeholder management experience across business, engineering, technical, and executive teams
Day-to-Day Responsibilities
- Lead enterprise-scale Azure and AI projects from initial concept through implementation and production deployment
- Develop and maintain project plans, schedules, milestones, budgets, and resource allocations
- Manage multiple Azure and AI initiatives while ensuring on-time and on-budget delivery
- Coordinate cross-functional execution across business, engineering, cloud, data, AI, security, and operations teams
- Define project scope, objectives, deliverables, dependencies, success measures, and quality standards
- Track project progress, identify risks and issues, and proactively resolve schedule or delivery variances
- Manage project budgets, costs, forecasts, and resource requirements
- Establish project governance, reporting cadences, and executive-level status communications
- Prepare status reports, project documentation, presentations, and budget updates
- Lead stakeholder meetings and communicate project decisions, risks, dependencies, and priorities
- Manage organizational and technical change throughout the project lifecycle
- Support the adoption and implementation of AI-enabled business solutions
- Ensure projects align with business objectives and deliver measurable value
Expected Outcomes
- Deliver Azure and AI projects on schedule, within budget, and according to quality standards
- Improve delivery predictability through effective planning, governance, and risk management
- Increase adoption of Azure-based and AI-enabled solutions
- Provide accurate executive reporting and proactive issue resolution
- Strengthen collaboration across business and technical teams
- Deliver measurable business value and strong stakeholder satisfaction