Associate D&T Analyst – AI & Automation

Overview

Join the AI & Automation team as an entry-level Associate D&T Analyst supporting AI tool evaluation, stakeholder enablement, governance readiness, coordination, communication, and documentation. The role focuses on evaluation, coordination, communication, and adoption rather than hands-on coding or technical implementation, and is suited to recent graduates.

What you'll do

• Evaluate AI tools, platforms, and new capabilities in Agentic AI for new features, and identify and highlight risks and recommendations.
• Support practical tool trials and user testing; document capabilities, usability, limitations, findings, and questions for further review.
• Assess established AI governance standards, identify gaps, and support maturation of the governance process as the Agentic AI ecosystem evolves.
• Support AI Taskforce governance readiness and communication for decisions.
• Understand requirements for agentic solutions and support development on no-code and low-code platforms.
• Track usage, adoption, user feedback, and agreed success measures; summarize observations and opportunities for improvement.
• Stay informed about recent developments in AI, including new tools, capabilities, and practical business applications, and share concise, relevant summaries with the team.
• Support workshops, demonstrations, and training sessions that help stakeholders understand AI capabilities and practical applications.
• Assist with event planning and execution, including schedules, participant communications, registrations, speaker coordination, logistics, and follow-up activities.
• Maintain reusable learning resources, evaluation summaries, and enablement materials.
• Collaborate with business partners, the AI & Automation team, and technical specialists, seeking guidance where deeper expertise is required.
• Build an understanding of General Mills business processes and D&T ways of working, and apply feedback to improve work quality.

What you'll need

• Bachelor's degree in Technology, Science, Computer Science, Information Systems, Engineering, Mathematics, Statistics, Business, Finance, Economics, or a related field with analytical or quantitative training.
• Demonstrated interest in AI, automation, technology, or digital transformation through coursework, projects, independent learning, internships, or extracurricular activities.
• Strong written, verbal, and presentation skills, with the ability to explain ideas clearly to different audiences.
• Ability to listen, ask relevant questions, understand stakeholder needs, and communicate progress and next steps.
• Good organizational skills, attention to detail, and follow-through on tasks and commitments.
• Ability to work collaboratively, coordinate activities, and seek support when needed.
• Basic understanding of AI, generative AI, AI agents, and automation concepts, including common business applications and limitations.
• Ability to compare tools, organize information, draw reasoned conclusions, and document findings clearly.
• Awareness of responsible AI considerations such as data privacy, security, accuracy, and appropriate human oversight, with willingness to learn organizational standards.
• Comfort using spreadsheets and presentation tools to prepare summaries, trackers, and reports.
• Curiosity, learning agility, and a willingness to keep up with developments in AI.
• Applicants must meet minimum age qualifications in the country in which the job is located.
• Prior full-time professional experience is not required.
• Coding proficiency and prior experience developing or deploying AI solutions are not prerequisites for this role.

Nice to have

• Practical exposure to generative AI tools, prompt design, AI assistants, or no-code / low-code automation platforms.
• Participation in AI-related projects, hackathons, technology clubs, or learning initiatives.
• Experience coordinating college events, workshops, conferences, or similar activities.
• Exposure to stakeholder-facing work through internships, student organizations, volunteering, or team projects.
• Familiarity with basic reporting or visualization tools and work-management tools such as Azure DevOps or Jira.
• Awareness of cloud and enterprise AI platforms; deep platform or engineering expertise is not expected.

Details

• Location: Powai, Mumbai, MH.