Senior Project Manager
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSProject ManagementAgileGCPMicrosoft AzureSCRUMData analytics
Requirements
- 5+ years of experience in project management, with strong exposure to Data, Analytics, or AI/ML delivery
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or related field (Master’s or MBA preferred)
- Proven experience delivering projects in industries such as Automotive, Agriculture, or Manufacturing
- Strong understanding of cloud data platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud
- Experience leading Agile (Scrum/Kanban) and hybrid delivery teams in distributed environments
- Strong stakeholder management skills, including engagement with senior executives and technical leaders
- Solid commercial acumen including budgeting, vendor management, and contract/SOW oversight
- Ability to manage ambiguity, prioritize effectively, and drive outcomes in evolving environments
- Excellent communication skills, with the ability to translate technical concepts for non-technical audiences
- Relevant certifications such as PMP, PRINCE2, or Agile certifications are highly preferred
Responsibilities
- Lead end-to-end delivery of Data, Analytics, and AI/ML projects from discovery through deployment and adoption
- Define and manage project plans, budgets, timelines, resource allocation, and RAID logs across complex initiatives
- Coordinate cross-functional teams including data engineers, ML engineers, architects, analysts, and business stakeholders
- Serve as the primary point of contact for client executives, ensuring clear communication of progress, risks, and outcomes
- Apply Agile, Waterfall, or hybrid methodologies to manage distributed and multi-track delivery environments
- Ensure governance, data quality, security, and responsible AI practices across delivery lifecycles
- Manage financial performance including forecasting, budgeting, change requests, and commercial optimization
- Identify improvements, capture lessons learned, and contribute to delivery frameworks and best practices
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