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Senior Project Manager - Delivery

Microsoft AI

India · On-site Full-time Lead 6d ago

About the role

About the Role

As a Consulting Project Manager at Microsoft Industry Solutions Delivery (ISD), your role is to enable both Microsoft and Customer outcomes through orchestration of delivery teams. You will govern either a single engagement or a portfolio of projects, playing a key role in the delivery lifecycle. Your responsibilities include:

Responsibilities

  • Governing the delivery lifecycle to remove barriers and ensure successful outcomes
  • Managing a successful engagement, maintaining portfolio health, and leading a team of delivery professionals
  • Orchestrating multidisciplinary teams, including data scientists, engineers, architects, and business stakeholders
  • Managing executive stakeholders, cross‑functional delivery teams, and partners
  • Leading financial governance, forecasting, and commercial management
  • Managing risks related to Data readiness, quality, Model governance, and ethical AI considerations
  • Translating requirements and AI capabilities into business outcomes aligned with Customer strategy
  • Delivering AI‑enabled, data‑driven, or advanced analytics programs on cloud platforms
  • Supporting or leading AI‑related pre‑sales activities

Qualifications

  • Proven experience managing complex technology projects or programs
  • Strong background in project/program management and consulting engagements
  • Experience in financial governance, forecasting, and commercial management
  • Expertise in risk, issue, and change management
  • Ability to translate requirements and AI capabilities into business outcomes
  • Hands‑on experience delivering AI‑enabled, data‑driven, or advanced analytics programs
  • Strong understanding of AI concepts, such as Machine Learning, Generative AI, Data platforms, and analytics pipelines
  • Expertise in managing AI solution delivery on cloud platforms, preferably Microsoft technologies
  • Commitment to continuous learning in AI, data, and emerging technologies

Required/Minimum Qualifications

  • A graduate with 12+ years of experience with at least 4+ years of Project Management experience
  • Excellent communication skills

Preferred Qualifications

  • Project Management Professional (PMP) certification or equivalent
  • Domain expertise in FSI, Manufacturing, Automobile, Healthcare, Cloud Native
  • 4+ years financial management experience
  • Agile certification

Equal Opportunity Employer

Microsoft is an equal opportunity employer and encourages applications from all qualified individuals without regard to various characteristics.


About the Role (Repeated)

As a Consulting Project Manager at Microsoft Industry Solutions Delivery (ISD), your role is to enable both Microsoft and Customer outcomes through orchestration of delivery teams. You will govern either a single engagement or a portfolio of projects, playing a key role in the delivery lifecycle. Your responsibilities include:

Responsibilities (Repeated)

  • Governing the delivery lifecycle to remove barriers and ensure successful outcomes
  • Managing a successful engagement, maintaining portfolio health, and leading a team of delivery professionals
  • Orchestrating multidisciplinary teams, including data scientists, engineers, architects, and business stakeholders
  • Managing executive stakeholders, cross‑functional delivery teams, and partners
  • Leading financial governance, forecasting, and commercial management
  • Managing risks related to Data readiness, quality, Model governance, and ethical AI considerations
  • Translating requirements and AI capabilities into business outcomes aligned with Customer strategy
  • Delivering AI‑enabled, data‑driven, or advanced analytics programs on cloud platforms
  • Supporting or leading AI‑related pre‑sales activities

Qualifications (Repeated)

  • Proven experience managing complex technology projects or programs
  • Strong background in project/program management and consulting engagements
  • Experience in financial governance, forecasting, and commercial management
  • Expertise in risk, issue, and change management
  • Ability to translate requirements and AI capabilities into business outcomes
  • Hands‑on experience delivering AI‑enabled, data‑driven, or advanced analytics programs
  • Strong understanding of AI concepts, such as Machine Learning, Generative AI, Data platforms, and analytics pipelines
  • Expertise in managing AI solution delivery on cloud platforms, preferably Microsoft technologies
  • Commitment to continuous learning in AI, data, and emerging technologies

Required/Minimum Qualifications (Repeated)

  • A graduate with 12+ years of experience with at least 4+ years of Project Management experience
  • Excellent communication skills

Preferred Qualifications (Repeated)

  • Project Management Professional (PMP) certification or equivalent
  • Domain expertise in FSI, Manufacturing, Automobile, Healthcare, Cloud Native
  • 4+ years financial management experience
  • Agile certification

Equal Opportunity Employer (Repeated)

Microsoft is an equal opp

Requirements

  • Proven experience managing complex technology projects or programs
  • Strong background in project/program management and consulting engagements
  • Experience in financial governance, forecasting, and commercial management
  • Expertise in risk, issue, and change management
  • Ability to translate requirements and AI capabilities into business outcomes
  • Hands-on experience delivering AI-enabled, data-driven, or advanced analytics programs
  • Strong understanding of AI concepts, such as Machine Learning, Generative AI, Data platforms, and analytics pipelines
  • Expertise in managing AI solution delivery on cloud platforms, preferably Microsoft technologies
  • Commitment to continuous learning in AI, data, and emerging technologies
  • A graduate with 12+ years of experience with at least 4+ years of Project Management experience
  • Excellent communication skills

Responsibilities

  • Governing the delivery lifecycle to remove barriers and ensure successful outcomes
  • Managing a successful engagement, maintaining portfolio health, and leading a team of delivery professionals
  • Orchestrating multidisciplinary teams, including data scientists, engineers, architects, and business stakeholders
  • Managing executive stakeholders, cross-functional delivery teams, and partners
  • Leading financial governance, forecasting, and commercial management
  • Managing risks related to Data readiness, quality, Model governance, and ethical AI considerations
  • Translating requirements and AI capabilities into business outcomes aligned with Customer strategy
  • Delivering AI-enabled, data-driven, or advanced analytics programs on cloud platforms
  • Supporting or leading AI-related pre-sales activities

Skills

AIAdvanced analyticsCloud platformsData platformsGenerative AIMachine LearningMicrosoft technologies

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