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Associate Program Manager, AI&ML

India, Hyderabad Employment contract · Job Posted May 26, 2026
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Job Description

As part of the GSS DAS team, you will help drive the execution of AI and advanced analytics initiatives that improve business operations and decision-making. You will work closely with cross-functional teams including Operations, Product, Data Science, and Engineering to support the development and rollout of AI-powered solutions. This role is ideal for someone who is curious about AI, enjoys solving business problems using data, and can effectively coordinate across teams to drive execution.

Job Responsibility

  • Support execution of AI and analytics initiatives through effective coordination with cross-functional teams
  • Assist in gathering business requirements and supporting AI and analytics use cases
  • Build and maintain AI-powered tools, automations, and workflows to improve team productivity and operational processes
  • Work with datasets to identify trends, generate insights, and support business decision-making
  • Collaborate with technical and business teams during development, testing, and rollout of AI-enabled solutions
  • Track project updates, action items, and deliverables across ongoing initiatives
  • Build dashboards, reports, and analyses to monitor performance and project impact
  • Document processes, workflows, and best practices to support operational efficiency
  • Identify opportunities for process improvement and automation across day-to-day workflows

Requirements

  • Minimum 1+ years experience working in business intelligence, analytics, data engineering, or a similar role
  • Proficiency in writing and optimizing SQL queries for data extraction and feature engineering pipelines
  • Foundational experience using Python for data manipulation and preparation of datasets to support AI/ML models
  • Exposure to AI/ML models and familiarity with building or utilizing AI agents (e.g., no-code tools like Copilot)
  • Strong influence and relationship management skills
  • comfortable interacting across all levels of stakeholders
  • Fluency in communicating analytical methods, results, and recommendations to peers and partner teams
  • Demonstrates strong ownership, attention to detail, and a proactive approach to managing assigned tasks
  • Ability to effectively collaborate with cross-functional and remote teams

Nice to have

  • BS / MS degree equivalent experience in Statistics, Economics, Engineering, or other quantitative fields
  • Programming background and expertise in solving a business problem using Python or similar programming languages
  • Experience of successfully managing small to medium-scale projects
  • Familiarity with the end-to-end AI/ML model lifecycle, including feature engineering, model evaluation metrics, and deployment pipelines
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