Senior AI Data Analyst

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities

AI & Advanced Analytics

• Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
  
• Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
  
• Apply responsible AI practices to ensure fairness, explainability, and transparency
  

Data Strategy & Governance

• Maintain data quality standards, metadata practices, and model documentation
  
• Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  
• Support development of AI governance, ethics frameworks, and model risk management processes
  

Stakeholder Collaboration

• Identify opportunities to leverage AI to improve operations and service outcomes
  
• Communicate complex findings into clear, actionable insights for executive leadership
  
• Provide mentorship and technical guidance to analysts and cross-functional teams
  

Reporting & Visualization

• Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
  
• Build and maintain Business Intelligence solutions (e.g., Power BI)
  
• Integrate AI-driven insights into reporting for real-time decision-making
  

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)
  
• 5+ years of experience in data analytics, data science, or AI/ML roles
  
• Hands-on experience with machine learning model development and deployment
  
• Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
  
• Experience with NLP, predictive modeling, or automation solutions
  
• Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
  
• Excellent communication skills with ability to present technical insights to non-technical audiences
  

Preferred Qualifications

• Experience working with large, complex datasets in regulated environments
  
• Familiarity with MLOps, model monitoring, and lifecycle management
  
• Exposure to geospatial analytics, LLMs, or advanced AI frameworks
  
• Experience implementing responsible AI or ethical AI frameworks
  

What You’ll Deliver

• Production-level AI solutions improving internal workflows or customer-facing services
  
• Executive-facing dashboards with near real-time insights
  
• Established data quality standards and governance practices
  
• AI governance workflows including bias testing, documentation, and monitoring
  
• Scalable processes for cross-functional AI project delivery