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Mid-level PM title, metro location, and generalist delivery requirements increase qualified applicant density.
Project management skills transferable, but AI/Copilot specialization limits industry portability.
Explicit 2–5 years, AI/Copilot familiarity and agile delivery raise screening rigidity.
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Manage delivery of 50+ team- and workflow-level AI solutions end-to-end, including initiation, planning, sprints, deployment, and closure.
Run agile delivery processes (roadmap, backlog, sprints, milestones, RAID log) and prioritize AI use-cases to ensure flow from personal productivity to team-scale solutions.
Own delivery quality with testing, validation, documentation, user onboarding, training, and embedding AI agents into workflows while coordinating offshore scaling.
2–5 years experience as a delivery project manager in projects involving agile or workflow automation; ideally with AI/ML or analytics production experience.
Good understanding of AI and generative AI concepts sufficient for communication with engineers and data scientists.
Working familiarity with Microsoft Copilot product family tools, especially Copilot Studio and M365 Agent Toolkit, including governance and lifecycle management.
Location requirement: India-based for cost-efficiency and volume throughput.
Experienced in managing high-volume delivery of small-to-mid sized AI or workflow automation projects with external partners and business champion engagement.
Skilled in agile/Kanban delivery methodologies using Jira or Azure DevOps and basic knowledge of AI-specific risks such as bias, privacy, security, and compliance.
Comfortable coordinating cross-functional teams, prioritizing use-cases with complex trade-offs between user self-serve simplicity and enterprise scale deployment.