Principal Project Manager

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. Should be able to lead /co-lead technical discussions with the customers. Engineering teams 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. 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 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. 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. 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. PMP, PgMP, SAFe, or Agile leadership certifications. Domain expertise - FSI, Manfacture, AutoMobile, Healthcare, CloudNative Industry transformation experience (Financial Services, Healthcare, Manufacturing, Public Sector). Demonstrated success driving AI adoption from experimentation to enterprise scale. Influences across organizations without formal authority. Shapes delivery strategy and AI execution models, not just manages timelines. Creates repeatable delivery excellence and institutional learning across GCID.