Senior Analytics and AI Developer

wheels; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Job summary

Wheels is seeking a Senior Analytics & AI Developer in Alpharetta, GA to lead the creation and refinement of analytical and AI-enabled solutions across quoting, billing, and lease management. You will collaborate with Client Success, Account Management, and strategic clients to translate complex needs into scalable tools and predictive models.

You will serve as a subject matter expert for FleetLab initiatives, operational and financial forecasting, and analytics-enabled consulting, guiding

Qualifications

• Experience with AI/ML development environments.
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• Ability to translate consulting needs into analytical tools.
• Strong collaboration with cross-functional teams.
• Experience with forecasting and analytics in fleet/operations.

Responsibilities

• Consultancy intake, prioritization, and delivery of analytical solutions.
• Develops consulting strategies with BD and client teams.
• Promotes data-driven decision making using proprietary and industry data.
• Leads advanced data analysis using Python, SQL, and Power Platform.
• Builds predictive models and analytical frameworks for forecasting.
• Designs, tests, and maintains analytical tools for critical calculations.
• Provides data-supported recommendations for fleet operations and clients.
• Serves as SME on FleetLab topics and analytics-enabled consulting.
• Guides internal stakeholders and customers on outputs.
• Applies data mining for benchmarking and best practices.
• Plans projects with requirements, timelines, and validation.

Skills

AI/ML proficiency

Python

SQL

Data analysis

OpenAI / LangChain

DevOps basics

Docker

Git

Data modeling

Tools

Python

SQL

Shell

Power Platform

Reporting software

Git

Docker

Job description

JOB OVERVIEW

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.
• Knowledgeable in Machine Learning Concepts : Well-versed in machine learning principles, including regression, classification, forecasting, model management, and practical application of predictive modeling techniques.
• Development Operations Knowledge: Proficient in development architecture and operations, including code versioning such as Git or GitHub, containerization such as Docker, and microservices concepts.
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