AI & Business Intelligence Engineer

Overview VSS Group is expanding and seeking an AI & Business Intelligence Engineer based onsite in Deerfield Beach, FL to help transform how the organization accesses, understands, and acts on business data. Highlights Growth-focused company with genuine career development opportunities Work directly with senior leaders to build AI-powered data and reporting solutions $95,000-$115,000 base salary to start + Full Benefits Represent a premium suite of vehicle protection solutions trusted by top dealerships, with the three core products of VSS Group: NitroFill, Cilajet, and Alacarte. Onsite role in Deerfield Beach, FL Opportunity to build natural language analytics, Power BI dashboards, ERP data pipelines, and Microsoft Copilot Studio agents while helping lead the company toward a modern, AI-enabled data culture. Company VSS Group is a trusted partner for auto dealerships, agents, and warranty administrators, offering industry‑leading vehicle protection products and sales solutions that drive growth and customer loyalty. Our core products—NitroFill, Cilajet, and Alacarte—deliver premium protection, performance, and personalization for automotive customers. We empower our partners with expert training, ongoing marketing support, and innovative solutions that enhance customer retention and dealership profitability. At VSS Group, your success is our mission—backed by first‑in‑class products and a commitment to long‑term value. Learn more about VSS Group here: Day In the Life As an AI & BI Engineer, you will help transform how VSS Group accesses, analyzes, and acts on data across the business. This is an AI‑forward role focused on architecting and operationalizing a natural language analytics layer on top of the company’s ERP platform, including Odoo. You’ll design intelligent data pipelines, automate reporting workflows, build Power BI dashboards and semantic models, and deploy Microsoft Copilot Studio agents that allow business users to query live ERP data without relying on IT or BI to manually create reports. You’ll partner closely with business leaders, ERP administrators, and stakeholders to understand reporting needs, map ERP data models, ensure data quality, and develop scalable BI and AI‑enabled solutions. The ideal candidate is equally comfortable writing SQL, building ETL pipelines, configuring Copilot Studio agents, working with Power BI, and translating a senior leader’s reporting need into a practical analytics solution. Success in this role is measured by adoption, enablement, and helping the business make faster, smarter decisions with fewer manual reporting bottlenecks. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field preferred 3+ years of hands‑on experience with ERP systems, with Odoo strongly preferred Experience as a Data Manager, Data Analyst, Data Architect, BI Engineer, Data Scientist, or similar role Strong experience with SQL, Power BI, Excel, dashboards, reporting, and data analysis Experience building and maintaining ETL/ELT pipelines, data models, semantic models, and reporting‑ready datasets Hands‑on experience with Microsoft Copilot Studio, Power Platform, Power Automate, or similar AI/automation tools strongly preferred Experience building or deploying AI/LLM agent solutions using tools such as Azure AI Foundry, LangChain, Semantic Kernel, or similar frameworks preferred Experience with Python, APIs, SharePoint, Microsoft O365, sFTP, webservers, or data integration platforms preferred Ability to map ERP data structures, including financial, inventory, sales, manufacturing, GL, AP/AR, and order data, into BI‑ready models Strong automation mindset with a desire to eliminate repetitive manual work through AI agents, scripting, RPA, or workflow automation Detail‑oriented, highly organized, and committed to data quality, accuracy, and governance Strong communication skills with the ability to translate business needs into technical solutions Genuine curiosity about AI and emerging technologies Desire to be part of a growing and evolving culture with a strong bias toward adding value and improving existing processes #J-18808-Ljbffr