Senior Project Manager - Delivery
Microsoft AI
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
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