Micron
AI Ops Solution Intake & Feasibility Analyst
Boise, ID - Main Site · Full-time · Posted Oct 22, 2026
- Experience
- Three or more years; related experience in business analysis, project management, product management, technology consulting, or a related role evaluating and prioritizing technology initiatives.
- Education
- Bachelor's degree in Information Systems, Business, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
About the job
Evaluates and prioritizes AI opportunities, guiding them through feasibility and governance reviews toward implementation readiness and measurable business value.
What you'll do
- Assess AI use cases for feasibility, data readiness, business impact, risks, dependencies, and organizational readiness.
- Coordinate governance reviews and align stakeholders on scope, priorities, success measures, and implementation strategies.
- Manage AI intake and portfolio visibility, track business value, and recommend improvements to adoption and governance processes.
What they ask for
- Bachelor's degree in Information Systems, Business, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
- Three or more years of experience in business analysis, project management, product management, technology consulting, or a related role evaluating and prioritizing technology initiatives.
- Experience gathering requirements, assessing technical solutions, identifying risks and dependencies, and presenting recommendations to technical and business audiences.
- Demonstrated success building alignment across teams and delivering results; strong communication, facilitation, and collaborator management skills.
Nice to have
- Experience with artificial intelligence, machine learning, generative AI, agentic AI, automation platforms, or other emerging technologies.
- Knowledge of governance, cybersecurity, privacy, compliance, or risk management; familiarity with NIST, COSO, or similar frameworks.
Tools
NIST, COSO
AI focus
Evaluates AI use cases and guides AI initiatives through feasibility assessment, governance, prioritization, and implementation readiness, supporting responsible, scalable adoption.
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