Micron
AI Ops Solution Intake & Feasibility Analyst
HyderabadFull-timePosted today
- Eligibility
- Bachelor's degree
- Batch
- Not stated
- Experience
- 2–3 years
- Salary
- Not stated
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About this role
About the role
- Part of Micron's AI Operations Center of Excellence, evaluating how AI can be adopted across the company's global IT organization
- You will assess AI opportunities and shepherd use cases through governance processes
- Work involves technology analysis, stakeholder engagement, and compliance coordination across multiple regions
What you'll do
- Be the first point of contact for AI requests from Micron's IT teams worldwide, understanding their goals and requirements
- Evaluate whether AI use cases are technically feasible, have sufficient data readiness, and will deliver real operational value
- Work with security, privacy, legal, architecture and data teams to guide solutions through governance reviews and approval steps
- Bring together IT leaders, architects, delivery teams and governance partners across regions to align on scope, priorities and success metrics
- Identify regional factors that affect solution design or rollout, such as privacy laws, data residency rules, and operational limits
- Support teams across different time zones with consistent updates and effective engagement with the intake process
- Track trends in intake requests across regions, spot repeated patterns, and suggest ways to speed up delivery
- Hand off context to implementation teams about regional needs, stakeholder expectations and constraints
- Contribute to measuring value delivered and improving intake frameworks and assessment methods
What they're looking for
- Bachelor's degree in Information Systems, Business, Computer Science, Engineering, Data Analytics or a related field, or equivalent experience
- 2-3+ years in business analysis, project coordination, technology consulting, product support or similar work involving technology evaluation and prioritization
- Proven ability to gather requirements, evaluate technical solutions, spot risks and dependencies, and explain recommendations to technical and non-technical audiences
- Experience working across multiple regions, cultures or time zones while coordinating geographically distributed teams
- Track record of working across organizations to drive alignment and coordinate successful outcomes
Preferred qualifications
- Knowledge of AI, machine learning, generative AI, agentic AI, automation platforms and enterprise technology
- Experience with technology governance, cybersecurity, compliance, privacy or risk management; familiarity with NIST, COSO or similar frameworks
- Background supporting global organizations, shared service centers or distributed technology teams
- Understanding of data privacy, data residency and regional regulatory requirements
- Strong facilitation, writing and communication skills with ability to guide discussions and influence diverse technical and business groups