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Manager, Data Platform - AI Engineering

Scout MotorsCharlotte, North Carolina, United StatesInformation Technology
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Salary
Not listed
Job type
Full-time
Posted
7 Aug 2026
Status
Open · checked 7d ago

About this role

The Manager, Data Platform - AI Engineering position at Scout Motors is a hands-on technical leadership role based in Charlotte, North Carolina, requiring 4 to 5 days per week in the corporate office. This opportunity suits an experienced engineering leader with a background in data architecture and artificial intelligence who wants to shape the technological future of an iconic automotive brand.

Role Overview

As a hands-on technical leader, this position involves directing and growing a team of Data Engineers and AI Engineers while actively contributing to enterprise data and artificial intelligence solutions. The professional in this role will guide multiple agile teams to create modern data platforms, intelligent agents, and Generative AI applications. Responsibilities include ensuring delivery excellence, maintaining platform scalability, and upholding security, governance, and operational standards.

Key Responsibilities

Lead, mentor, and foster the professional growth of Data Engineers, AI Engineers, and technical consultants by establishing clear goals, performance expectations, and development plans.
Participate actively in recruiting, onboarding, and workforce planning to build a high-performing engineering culture.
Provide hands-on technical guidance, coaching, and regular code reviews for data and artificial intelligence initiatives.
Architect, design, develop, and support scalable data platforms utilizing cloud-native technologies and Databricks.
Lead the creation of enterprise data pipelines and ETL/ELT workflows that support analytics, operational reporting, and AI workloads.
Drive robust practices around data quality, governance, lineage, metadata management, and cybersecurity compliance.
Design and deploy AI and Generative AI solutions that deliver measurable business outcomes while evaluating emerging technologies for enterprise adoption.

Requirements

Hold a Bachelor's degree in computer science, information technology, a related field, or possess equivalent professional work experience.
Bring 7 or more years of overall technical experience spanning data engineering, software engineering, or AI engineering disciplines.
Accumulate at least 3 years of direct experience leading technical personnel and managing Agile delivery teams.
Demonstrate strong hands-on expertise designing and developing enterprise-grade data solutions.
Possess proven experience managing cross-functional technical teams through complete software development lifecycles.
Maintain familiarity with legal working requirements, noting applicants must be 18 years of age or older.

Skills and Tools

Cloud Platform Technologies: AWS, Azure, Docker, Kubernetes, CI/CD Pipelines, and monitoring tools like Datadog.
Data and AI Platforms: Databricks Data/AI Platform, Open WebUI, n8n, and Pinecone.
Artificial Intelligence and Machine Learning: Generative AI solution development, Retrieval-Augmented Generation, prompt engineering, AI agents, agent frameworks, vector databases, and Large Language Models including LangChain and LangGraph.

Salary and Benefits

Initial base salary range offered is $160,000.00 to $192,500.00, supplemented by an annual performance bonus program.
Comprehensive insurance coverage including medical, dental, vision, and income protection plans.
401(k) program featuring an employer match and immediate vesting.
Generous paid time off comprising 20 days of planned PTO as accrued, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
Up to 16 weeks of paid parental leave for biological and adoptive parents, alongside paid bereavement, jury duty, voting, and military leave.
Corporate Vehicle Program offering eligibility for one assigned vehicle and a mobility stipend.

About the Company

Scout Motors carries forward the heritage of a legendary American vehicle brand dating back to 1960. The company focuses on electrifying and digitizing rugged SUVs and trucks with American innovation while respecting communities, customers, work, and play. Scout Motors develops both all-electric powertrains and the Harvester range extender powertrain featuring a built-in gas-powered generator.

How to Apply

Interested candidates should visit the official Scout Motors careers page to submit an application and drive change with the organization.

Skills and tech stack

Questions candidates ask

Where is the Manager, Data Platform - AI Engineering role located?

The position is based out of the Scout Motors corporate headquarters in Charlotte, North Carolina. It requires an in-office presence of 4 to 5 days per week with regular in-person meetings.

What is the salary range for this position?

The initial base salary range is $160,000.00 to $192,500.00, and the role is eligible to participate in an annual performance bonus program.

What level of experience is required for this role?

Candidates must have 7 or more years of experience in data engineering, software engineering, AI engineering, or related technical fields, including at least 3 years of experience leading technical and Agile delivery teams.

What specific AI and cloud tools will I be working with?

The role involves working with AWS, Azure, Docker, Kubernetes, Databricks, LangChain, LangGraph, Pinecone, Open WebUI, n8n, and various Generative AI and Large Language Model frameworks.

What benefits are provided by Scout Motors?

Benefits include medical, dental, vision, and income protection plans, a 401(k) with employer match, generous paid time off, up to 16 weeks of paid parental leave, and a Corporate Vehicle Program with an assigned vehicle and mobility stipend.

How can I apply for this job?

Applicants can apply directly through the official Scout Motors careers page.

Ready to apply?

The application is on the official Scout Motors careers page.

Apply on company site