Data Analyst (AI)

Role: Data Analyst (AI) Location: Houston, TX 77002 (Hybrid: 3 days in office / 2 days WFH) Duration:- 12 months Role Overview: The Data Analyst (AI) leads the development, deployment, and governance of advanced analytics and AI solutions. This role modernizes government operations by blending deep technical expertise with practical public-sector applications, ensuring AI tools are ethical, secure, and data-informed. Key Responsibilities: • AI & Advanced Analytics: Build end-to-end ML models, NLP tools, and predictive analytics pipelines (from data acquisition through to deployment and monitoring) using responsible AI frameworks. • Data Strategy & Governance: Maintain MLOps data quality standards, document models, and partner with IT/Cybersecurity to secure sensitive data. • BI & Visualization: Build Power BI dashboards and automated reports to translate complex AI insights into real-time metrics for executive leadership. • Cross-Functional Collaboration: Partner with departments to identify AI opportunities, mentor junior analysts, and improve resident-facing services. Key Deliverables & Milestones: • Production AI Solutions: Deploy AI tools to optimize at least 3 internal or resident-facing processes (e.g., triage, forecasting, permit processing). • AI Governance Framework: Establish bias testing, model documentation, and incident response workflows. • Executive Dashboards: Launch near-real-time KPI dashboards focused on service delivery and fiscal efficiency. Success Metrics: • Delivery: Number of models deployed; project intake-to-pilot duration; model threshold targets (MAE, F1, AUROC). • Quality: Frequency and time-to-remediation of model drift; successful retraining without bias/regression. • Innovation: Effective use of advanced tech (LLMs, NLP, geospatial) and high reusability of pipeline components.