Project Manager

Must-Haves5–10 years of project management experienceExperience managing the full project lifecycle from project definition and planning through implementation and deploymentExperience leading enterprise-scale Microsoft Azure and artificial intelligence initiativesStrong project planning experience, including project plans, schedules, milestones, dependencies, and resource allocationExperience managing project scope, cost, schedule, budget, risk, and qualityAbility to manage multiple concurrent projects and drive delivery within established timelines and budgetsExperience preparing project documentation, executive status reports, presentations, forecasts, and budgetsExperience establishing project governance, reporting cadences, and escalation processesStrong change management experience throughout the project lifecycleProficiency with Microsoft Project, Visio, Excel, and WordExcellent written and verbal communication, negotiation, leadership, decision-making, analytical, and problem-solving skillsStrong stakeholder management experience across business, engineering, technical, and executive teamsDay-to-Day ResponsibilitiesLead enterprise-scale Azure and AI projects from initial concept through implementation and production deploymentDevelop and maintain project plans, schedules, milestones, budgets, and resource allocationsManage multiple Azure and AI initiatives while ensuring on-time and on-budget deliveryCoordinate cross-functional execution across business, engineering, cloud, data, AI, security, and operations teamsDefine project scope, objectives, deliverables, dependencies, success measures, and quality standardsTrack project progress, identify risks and issues, and proactively resolve schedule or delivery variancesManage project budgets, costs, forecasts, and resource requirementsEstablish project governance, reporting cadences, and executive-level status communicationsPrepare status reports, project documentation, presentations, and budget updatesLead stakeholder meetings and communicate project decisions, risks, dependencies, and prioritiesManage organizational and technical change throughout the project lifecycleSupport the adoption and implementation of AI-enabled business solutionsEnsure projects align with business objectives and deliver measurable valueExpected OutcomesDeliver Azure and AI projects on schedule, within budget, and according to quality standardsImprove delivery predictability through effective planning, governance, and risk managementIncrease adoption of Azure-based and AI-enabled solutionsProvide accurate executive reporting and proactive issue resolutionStrengthen collaboration across business and technical teamsDeliver measurable business value and strong stakeholder satisfaction