Overview
The Principal Project Manager (PjM) in Microsoft Industry Solutions Delivery (ISD) / GCID is accountable for leading Microsoft’s most complex, high-impact Cloud, Data, AI, and Security transformation programs for strategic enterprise customers. This role operates at the intersection of delivery leadership, technical depth, customer trust, and AI execution. The Principal PjM is the single accountable owner for delivery outcomes across multi-workstream, multi-vendor, global programs — often executed under ambiguity, evolving architectures, and high executive visibility.
Responsibilities
Complex Delivery & Program Leadership
- Lead end-to-end delivery of large, multi-workstream, global transformation programs (Cloud, Data, AI, Security, Application Modernization, Industry Solutions).
- Define delivery strategy, governance model, financial structure, milestones, dependencies, and execution cadence.
- Act as the single accountable delivery leader for high-visibility programs, including executive steering committees and escalation management.
- Proactively identify, quantify, and mitigate delivery, commercial, technical, and organizational risks.
- Drive predictable outcomes across Microsoft internal teams, partners, and customer organizations.
- Should be able to lead /co-lead technical discussions with the customers. Engineering teams.
AI-First Delivery Leadership
- Lead AI-first delivery models including Generative AI, Azure AI, Copilot-enabled solutions, and AI-powered accelerators.
- Partner with Architects, Engineering, Data Science, Security, and Responsible AI stakeholders to drive safe, scalable AI deployments.
- Move solutions from PoC/pilot stages into production-grade enterprise deployments.
- Apply Responsible AI, security, privacy, and compliance guardrails throughout delivery execution.
Customer & Executive Stakeholder Management
- Serve as a trusted advisor to senior customer executives on business value of the solution delivered, delivery health, AI adoption progress, risk posture, and business outcomes.
- Translate complex technical and AI-centric delivery topics into executive-ready narratives.
- Represent Microsoft delivery excellence in executive governance forums, transformation reviews, and QBRs.
Partner & Ecosystem Leadership
- Own accountability for partner and system integrator delivery performance across complex engagements.
- Influence delivery sourcing strategies to optimize GCID participation, cost efficiency, and scale.
- Manage quality, risk, and outcomes across multi-partner delivery landscapes.
- Should be able to lead technical discussions with engineering teams without support from technical team/architects.
Delivery Practice & Capability Leadership
- Act as a role model, mentor, and coach for Senior and Principal Project/Program Managers across ISD / GCID.
- Contribute to delivery standards, playbooks, AI delivery patterns, and governance models.
- Support complex pre-sales pursuits by shaping delivery approaches, validating estimates, and assessing risk.
Business Growth
- Identify AI and cloud opportunities in the account.
- Should be able to lead AI workshops with the customer to create impactful use cases to deliver faster value to customer and Microsoft.
- Lead and orchestrated pre-sales to grow the business.
Qualifications
Required Qualifications
- Bachelor’s degree in Engineering, Computer Science, Information Systems or equivalent experience. MBA preferred. Fluency in AI and its possibilities would be a preferred plus.
- 12+ years of experience in complex project/program delivery.
- 5+ years leading large-scale enterprise transformation programs.
- Proven success delivering Cloud and AI-centric programs (Azure, Data, Security, Application Modernization).
- Strong financial and commercial management experience (forecasting, margins, change control).
- Executive-level communication and stakeholder management capability.
AI & Technical Experience Requirements
- Should have played technical engineering leadership roles on Gen AI.
- Experience delivering Azure AI, OpenAI, Copilot, and Data & Analytics solutions at scale.
- Ability to engage technically with Architects and Engineers on AI architecture trade-offs.
- Understanding of Responsible AI, enterprise AI risk, security, and compliance considerations.
Preferred Qualifications
- PMP, PgMP, SAFe, or Agile leadership certifications.
- Domain expertise - FSI, Manufacture, Automobile, Healthcare, CloudNative.
- Industry transformation experience (Financial Services, Health).