The Senior Analytics & AI Developer is responsible for developing, implementing, and continuously improving advanced analytical and AI-enabled solutions that support critical business processes, including quoting, lease conversion, recalculations, customer billing, and lease settlements or terminations. This role partners with Client Success, Account Management, Business Development, and strategic clients or prospects to translate complex consulting needs into scalable analytical tools, predictive models, and actionable recommendations. As a senior individual contributor, this role serves as a subject matter expert for FleetLab initiatives, proprietary and industry data, operational and financial forecasting, benchmarking, and data-driven consulting solutions.
KEY RESPONSIBILITIES - ESSENTIAL FUNCTIONS
Consultancy Intake & Prioritization: Manages and analyzes consultancy requests, including intake, approval, prioritization, development planning, and delivery of analytical solutions aligned to business and client needs.
Consulting Strategy Support: Partners with Business Development and client-facing teams to develop and implement consulting strategies for strategic prospects and clients.
Promotes Data Utilization for Decision-Making: Improves and promotes the use of proprietary and industry data, analytical tools, and benchmarking information to support fleet decision-making processes.
Advanced Data Analysis: Leverages tools such as Python, SQL, Shell, Microsoft Power Platform, standard reporting software, and related analytical tools to extract, manipulate, format, and validate data for reporting and decision support.
Modeling & Predictive Analytics: Develops or collaborates on predictive ML models and analytical frameworks to identify cause-and-effect relationships, trends, operational performance factors, and forecasting opportunities.
Solution Development: Designs, tests, implements, and maintains analytical tools for critical calculations, including risk-based quoting, lease conversion, recalculations, customer billing, and lease settlements or terminations.
Actionable Recommendations: Interprets complex information and provides specific, logical, and data-supported recommendations based on fleet operations, client needs, and industry trends.
Subject Matter Expertise: Serves as a subject matter expert for internal clients on complex FleetLab topics, including vehicle contract enforcement, operational forecasting, financial forecasting, and analytics-enabled consulting solutions.
Customer & Stakeholder Guidance: Shares knowledge with internal stakeholders and external customers, providing guidance that facilitates decision-making and strengthens understanding of analytical outputs.
Benchmarking & Best Practices: Applies data mining techniques to gather relevant data sets for internal and external benchmarking and actively pursues analytics, AI, and technical best practices through formal and informal learning.
Project Planning & Delivery: Develops project requirements, analytical plans, timelines, testing approaches, documentation, and related materials to support timely and accurate delivery of results.
Business Understanding: Maintains a comprehensive understanding of business operations, strategic objectives, fleet operations, and client success drivers to ensure analytical solutions are practical and business-relevant.
LEADERSHIP RESPONSIBILITIES
This is a senior individual contributor role with no direct people management responsibilities. The role may provide day-to-day technical guidance, feedback, knowledge sharing, and analytical direction to internal stakeholders and project contributors.
COMPETENCIES - SKILLS
Capable of Managing Complex Solutions: Skilled in planning, developing, testing, delivering, and maintaining multiple analytical and AI-enabled solutions while managing workload, balancing competing priorities, and maintaining flexibility to meet dynamic business demands.
Critical Analysis & Client-Relevant Recommendations: Applies critical analysis skills to produce thorough, accurate, and logically sound results, with recommendations tailored to client information, extracted data, fleet operations, and industry trends.
Technical Proficiency in AI/ML: Experienced with AI/ML environments, including tools such as Python, JupyterLab, Streamlit, and equivalent development environments.
Familiarity with Advanced Frameworks: Knowledgeable in OpenAI, LangChain, large language model APIs, and similar AI development frameworks or tools.
Knowledgea
Numbers & Facts
Location
Alpharetta, Georgia
Skills
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Best Practicesunmatched
Billingunmatched
Business Developmentunmatched
Business Operationsunmatched
Business Processesunmatched
Business Strategyunmatched
Business Supportunmatched
Consultingunmatched
Continuous Improvementunmatched
Customer Relationsunmatched
Data Analysisunmatched
Data Collectionunmatched
Data Formatsunmatched
Data Miningunmatched
Data Qualityunmatched
Data Setsunmatched
Decision Supportunmatched
Documentationunmatched
Establish Prioritiesunmatched
Financial Analysisunmatched
Forecastingunmatched
Industry/Trade Analysisunmatched
Leadershipunmatched
Microsoft Product Familyunmatched
Modeling Languagesunmatched
People Managementunmatched
Predictive Modelingunmatched
Problem Solving Skillsunmatched
Project Developmentunmatched
Project Planningunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
Riskunmatched
SQL (Structured Query Language)unmatched
Sales Managementunmatched
Technical Leadershipunmatched
Test Designunmatched
Test Plan/Scheduleunmatched
Time Managementunmatched
Truck Driverunmatched
Unix Shell Programmingunmatched
Vehicle Fleetsunmatched
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