AI Operations Analyst: Performance & Optimization

MCI Careers; Los Angeles (CA); Hybrid; USD 90,000 - 140,000; Full time

Job summary

MCI is seeking a highly organized AI Operations Analyst to support day-to-day operations, performance monitoring, and continuous improvement of AI-powered solutions. You will work with AI engineers, product teams, and business stakeholders to ensure systems meet objectives.

You will monitor metrics, develop dashboards, identify bottlenecks, and drive optimization across AI initiatives, governance, and compliance.

Qualifications

• Bachelor's degree in a related field and strong analytical abilities.
• 3+ years in operations analysis, business analysis, or tech operations.
• Experience with performance metrics and operational reporting.
• Ability to interpret data, identify trends, and communicate insights.
• Experience documenting processes and coordinating with stakeholders.

Responsibilities

• AI Operations Monitoring & Performance Management: ensure systems operate reliably and track KPIs.
• Data Analysis & Reporting: develop dashboards, reports, and performance summaries.
• Process Optimization & Continuous Improvement: drive operational excellence and implement optimizations.
• Stakeholder Collaboration & Support: work with engineers, product teams, and business users.
• Governance & Operational Controls: ensure compliance, documentation, and risk mitigation.

Skills

AI Operations Monitoring

Data analysis

Performance management

Dashboard reporting

Process optimization

Stakeholder management

Cross-functional collaboration

Governance & compliance

Education

Bachelor's Degree in Business/Operations/IS/Data Analytics

Tools

Power BI

Tableau

Job description

MCI is seeking a highly organized AI Operations Analyst to support day-to-day operations, performance monitoring, and continuous improvement of AI-powered solutions. You will work with AI engineers, product teams, and business stakeholders to ensure systems meet objectives.

You will monitor metrics, develop dashboards, identify bottlenecks, and drive optimization across AI initiatives, governance, and compliance.