Principal IT Project Management (AI , Data Analytics )

Education & Experience: Bachelor’s degree in engineering, Computer Science, Business Administration, or related field 10 - 15 Years of project management experience , preferably in AI & data analytics environments Demonstrated experience managing multiple concurrent projects with competing priorities Technical Skills: Foundational understanding of AI/ML concepts, data pipelines, and deployment considerations Proficiency with project management tools (e.g., Jira, Microsoft Project, Asana) Familiarity with software development lifecycles and agile methodologies Basic understanding of cloud platforms and IT infrastructure concepts Preferred Qualifications Project Management Professional (PMP) or similar certification Experience with AI/ML project lifecycle management Background in process improvement methodologies (Lean, Six Sigma) Previous experience in technology consulting or transformation roles Success Metrics Reduction in average AI project delivery timelines Successful implementation of standardized processes across AI portfolio Achievement of project delivery targets and quality metrics Key Responsibilities Project Management & Coordination Manage multiple AI projects simultaneously, ensuring adherence to timelines, budgets, and quality standards Provide program support to AI Hub (India) initiatives, acting as a key coordination resource Coordinate cross-functional teams including data scientists, engineers, business stakeholders, and IT operations Maintain comprehensive project schedules and communicate progress to leadership and stakeholders Facilitate project kick-offs, status meetings, and post-implementation reviews Screen incoming AI project requests using fundamental AI/ML knowledge to assess feasibility and resource requirements Work with AI Hub (India) team leadership on project prioritization based on technical complexity, business impact, and resource availability Collaborate with technical teams to ensure proper scoping and realistic timeline development Support business case development with technical insights and delivery estimates Support the implementation of standardized workflows to accelerate AI project execution from ideation to deployment Establish governance frameworks that balance speed with quality and compliance requirements Create repeatable methodologies that can scale across diverse AI use cases Continuously evaluate and refine processes based on project outcomes and industry best practices