Project Manager AI

Project Manager - AI

Key Responsibilities

• Program/Project Management (20%):

• Lead large-scale

  AI and data-driven projects

  from initiation to successful closure.
• Develop and manage detailed project plans, timelines, budgets, and resource allocation.
• Ensure timely delivery of projects and alignment with overall business objectives.

• Analytical and Technical Understanding (20%):

• Analyze complex requirements and translate them into actionable development plans for AI solutions.
• Collaborate closely with technical teams to understand platform architecture, design, and functionality.
• Evaluate

  AI models, data processing techniques, and system integration aspects

  .

• Risk and Issue Management (20%):

• Proactively identify, analyze, and manage potential project risks and issues.
• Develop robust risk mitigation strategies and implement effective contingency plans to ensure project continuity.
• Maintain comprehensive risk logs and conduct regular reviews with all stakeholders.

• Vendor Management (10%):

• Manage end-to-end vendor engagement, including the preparation of

  RFPs/RFQs (Request for Proposals/Quotations)

  .
• Ensure vendor deliverables are perfectly aligned with project goals and contractual terms.
• Monitor vendor compliance and performance metrics to ensure quality and efficiency.

• Communication and Stakeholder Management (10%):

• Act as the primary liaison between business teams, technical teams, and critical

  government stakeholders

  .
• Provide clear, concise, and regular project updates to senior management and clients.
• Facilitate productive stakeholder meetings, manage expectations effectively, and ensure high levels of satisfaction.

• Desirable Experience (20%):

• Prior experience working specifically with

  Indian government agencies or in public sector environments

  .
• Hands-on exposure to the complete

  AI, Machine Learning, and Data Analytics project lifecycles

  .
• Relevant certifications such as

  PMP, Prince2, or AI/Data Analytics certifications

  are highly preferred.

Qualifications

• Education:

  Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Experience:

  Proven experience in project management, with at least 3 years specifically in

  AI/Data Analytics domains

  .

• Team Leadership:

  Demonstrated ability to manage cross-functional teams effectively in a fast-paced environment.

Preferred Skills

• Problem-Solving:

  Strong problem-solving and decision-making abilities.

• Technical Familiarity:

  Familiarity with

  AI/ML tools and cloud-based platforms

  .

• Communication:

  Excellent written and verbal communication skills.