Job Location : Dearborn,MI, USA
Minimum Qualifications and Job Requirements:
Must have knowledge of Generative AI and Large Language Models (LLMs)
Must have knowledge of Business Intelligence (BI) and Data Visualization Platforms
Must have Bachelor's degree, preferably in a technology related discipline
Must have at least 5 years of IT development experience.
Must have strong analytical and problem-solving skills.
Must have experience in business requirement documentation, writing use cases, and user acceptance testing.
Essential Job Functions:
Collaborate with internal product teams to understand their specific communication needs, dealer pain points, and desired outcomes for an AI chat service.
Translate business requirements into detailed technical specifications for the AI chat system, such as what types of questions it should answer (e.g., VIN-specific inquiries, service booking, test drive scheduling), how it should qualify leads, and how it should integrate with existing dealership systems.
Define data flows, use cases, business requirements, and integration points for client data along with documentation that describes data being shared and the applicable use cases that apply to it.
Identify key performance indicators (KPIs) for the AI chat service, such as lead generation rate, lead qualification rate, conversation completion rate, customer satisfaction (CSAT), and common drop-off points.
Identify and prepare the data sources needed to train the AI models (knowledge bank), ensuring the chat provides accurate and dealership-specific information. This includes understanding how the AI processes and interprets customer inquiries and responds appropriately.
Construct test cases for newly integrated data as well help participate in the testing and verification of the AI accurate usage of that data and offers a satisfactory user experience. This includes functional and non-functional testing, as well as user acceptance testing (UAT).
Create and maintain detailed documentation for the digital services including data sources, data definitions, calculation methodologies, system architecture, and user guides.
Ensure the accuracy, completeness, and reliability of the data presented in Analytics dashboards. Establish data validation processes and conducts regular audits to maintain high data quality.
Coordinate with external vendors to ensure their software aligns with the dealership's needs and integrates seamlessly with existing systems.
Other Responsibilities:
Document and maintain project artifacts.
Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
Safeguard the company's assets.
Adhere to the company's compliance program.
Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
Maintain focus on customer-service, efficiency, quality, and growth.
Collaborating with additional team members
Other duties as assigned