AI Program Analyst

Job Summary

Role: AI Program Analyst

Location: India, Remote

Experience: 0-2 Years

We are seeking an analytically driven AI Program Analyst to work at the intersection of AI, engineering workflows, and business outcomes.

This role focuses on identifying high-impact AI opportunities across the organization, translating technical initiatives into measurable business value, and supporting leadership in evaluating and scaling AI-driven improvements. The ideal candidate is comfortable engaging with engineering teams, analyzing workflows, and building a structured understanding of how AI can drive productivity, efficiency, and operational excellence.

This position offers strong exposure to real-world AI implementation and provides a foundation for growth into AI strategy, architecture, or enterprise transformation roles.

Key responsibilities

• AI opportunity analysis and use case development ( 70%)
  • Analyze how AI can improve engineering productivity, operational efficiency and internal workflows.
  • Collaborate with delivery teams, architects, and practice leads to understand ongoing AI initiatives and experiments.
  • Identify opportunities for AI-driven automation to reduce manual effort and improve delivery outcomes.
  • Develop structured AI use cases including:
    • Problem definition and scope
    • Technical approach
    • Productivity, efficiency and ROI impact
• Feasibility and risk assessment
  • Evaluate AI opportunities across engineering, delivery, HR, finance and operations.
  • Maintain a centralized repository of validated AI use cases and automation initiatives.
  • Quantify operational impact using productivity, cost and efficiency metrics.
• AI prototyping and internal automation ( 25%)
  • Build lightweight prototypes to validate AI use cases and automation opportunities.
  • Develop basic AI assistants using tools such as Microsoft Copilot or similar platforms.
  • Prototype document processing workflows (classification, summarization, metadata extraction).
  • Automate repetitive internal tasks such as reporting, document processing and data summarization.
  • Support AI Architects in evaluating new tools, frameworks and models.
  • Conduct rapid experiments to assess feasibility and limitations of AI solutions.
• Program intelligence and strategic support ( 5%)
  • Support the Program Director in tracking cross-functional initiatives.
  • Maintain visibility into program progress, dependencies and risks.
  • Synthesize discussions into actionable insights and clear next steps.
  • Track execution and identify blockers across teams.
  • Prepare structured summaries and updates for leadership.

Required skills and qualifications

• Bachelor s degree in Computer Science, Engineering, IT, or related field.
• 0-2 years of experience (internships/projects in AI, analytics, or engineering are acceptable).

Strong capabilities in:

• Analytical thinking and structured problem-solving.
• Understanding technical concepts and engineering workflows.
• Translating technical ideas into business impact.
• Familiarity with AI tools such as ChatGPT, Claude, Microsoft Copilot, or similar platforms.
• Strong skills in Excel and PowerPoint for analysis and reporting.
• Clear written and verbal communication skills.

Nice to have skills:

• Exposure to Python or basic scripting for automation.
• Understanding of AI/ML concepts or data analysis.
• Experience working with dashboards or data visualization tools.
• Familiarity with business metrics, ROI calculations, or process optimization.

Must have skills:

• Strong analytical and problem-solving skills.
• Understanding of technical concepts and engineering workflows.
• Familiarity with AI tools such as ChatGPT, Claude, or Microsoft Copilot.
• Proficiency in Excel and PowerPoint.

Desired attributes:

• Highly curious and proactive in exploring new AI tools and technologies.
• Strong interest in understanding systems, workflows, and processes.
• Structured thinker with a rigorous, analytical approach.
• Enjoys experimentation and rapid prototyping.
• Ability to connect engineering work to measurable business outcomes.
• Strong listening and interviewing skills to extract insights from teams.
• Ability to translate complex technical concepts into clear, compelling narratives.

Interview process

2 rounds of discussion.

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