Senior Project Manager

Microsoft · ✓ Verified company
📍 India · On-site · Full-time

About the role

Portfolio Governance & Delivery Orchestration Own governance across a portfolio of engagements, ensuring alignment to ISD delivery frameworks, processes, and quality standards Orchestrate across delivery teams, Area PMs, and stakeholders to ensure successful execution across all lifecycle phases Identify cross-project dependencies, risks, and systemic issues, and drive resolution at portfolio level Deliver leadership-ready reporting (dashboards, executive summaries, portfolio insights) with clear narratives and actions Provide data-driven insights on portfolio health, trends, and areas requiring leadership intervention Establish strong communication cadence with stakeholders, ensuring alignment on risks, priorities, and actions Deliver measurable improvements in efficiency, cycle time, or reporting quality Drive proactive identification and mitigation of risks, issues, and compliance gaps Ensure adherence to governance requirements including project hygiene, audit readiness, ISRA compliance, and decrement closure Lead structured escalation management with clear resolution ownership and timelines Act as a subject matter expert in areas such as financial governance, reporting, or portfolio management Mentor and coach Project Managers and Process Leads to elevate PMO maturity Contribute to knowledge sharing, training sessions, and capability development Proven 10+ years of experience in supporting complex technology projects or programs, including delivery across scope, cost, schedule, and quality Strong background in project/program management and consulting engagements. Proven ability to orchestrate multidisciplinary teams, including data scientists, engineers, architects, and business stakeholders Demonstrated ability to manage executive stakeholders, cross‑functional delivery teams, and partners Experience in financial governance, forecasting, and commercial management Expertise in risk, issue, and change management, including leading scope and budget impact assessments. Proven abilities to manage risks related to Data readiness and quality, Model governance and ethical AI considerations Ability to translate requirements along with AI capabilities into business outcomes, aligning use cases to Customer strategy and value realization