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Senior Data Analyst – Agentic AI, GenAI Delivery
GM FinancialSenior Data Analyst operationalizing and scaling Agentic AI solutions at GM Financial. Collaborating across teams to validate deployments and enhance AI performance in production.
About the role
Key responsibilities & impact- Validate readiness of Agentic AI use cases for production deployment
- Track deployment success metrics and post-production performance
- Identify gaps between expected vs. actual outcomes
- Define metrics for: Accuracy and response quality, Task completion success rates, Hallucination and failure cases, Latency and throughput
- Build evaluation datasets and validation pipelines
- Analyze: Agent workflows and decisions, Prompt-response chains, Tool usage and orchestration behavior
- Develop observability dashboards using telemetry and logs
- Detect and escalate production issues and anomalies
- Perform root cause analysis on failures and performance issues
- Deliver executive-level reporting on AI system effectiveness
- Provide actionable insights to improve system design and outcomes
- Work closely with: Lead Architects for feasibility alignment AI/ML engineers for model/system improvements Product teams for use case refinement
- Translate technical findings into clear business insights
Requirements
What you’ll need- 6-8 years experience in data analytics, data science, or AI Systems analysis or similar role required
- Experience supporting AI/ ML or GenAI systems in production environments preferred
- Auto finance experience preferred, cross functional Agile team experience preferred
- Bachelor’s Degree in Data Science, Computer Science, Engineering or related quantitative field Preferred
- Master’s Degree in related quantitative field Preferred
Benefits
Comp & perks- 401K matching
- bonding leave for new parents (12 weeks, 100% paid)
- tuition assistance
- training
- GM employee auto discount
- community service pay
- nine company holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata scienceAI systems analysismetrics definitionroot cause analysisevaluation datasetsvalidation pipelinesobservability dashboardstelemetrylogs
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingreportinginsight generationcross-functional teamworkfeasibility alignment
Certifications
Bachelor’s Degree in Data ScienceBachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringMaster’s Degree in related quantitative field