Senior Data & AI Platform Architect

Thomas Built Buses, Inc.; Detroit (MI); Hybrid; USD 117,000 - 150,000; Full time

Benefits offered by this job

Annual bonus program

401k with company match up to 6%

Non-elective company contribution 3-7%

4 weeks paid vacation

13+ holidays

8 weeks paid parental leave

Healthcare plans and wellness programs

Tuition assistance

Volunteer paid time off

Disability plans

Job summary

Thomas Built Buses, Inc. seeks a Senior Data and AI Specialist to lead data science, analytics, and AI initiatives in a hybrid Detroit setting.

You will partner with enterprise AI, data engineering, and security teams to design and govern AI-enabled solutions that drive operational efficiency and data-driven decision making. The role requires strong AI/ML architecture experience, cross-functional leadership, and the ability to translate complex technology into business value while aligning with

Qualifications

• Bachelor’s degree or equivalent in a technical field with strong data/AI background.
• Experience delivering AI/ML, analytics, and automation at enterprise scale.
• Hands-on with data engineering, BI, cloud environments, security, governance.

Responsibilities

• Lead data science, analytics, and AI initiatives to improve operations.
• Design, implement, and govern AI-enabled solutions across teams.
• Partner with enterprise AI, data engineering, and security teams for governance.
• Provide technical leadership and ensure alignment with enterprise standards.

Skills

Data engineering

AI/ML concepts

BI analytics

Cloud/hybrid

Communication & leadership

Education

Bachelor’s Degree in CS or related field

Tools

Microsoft Copilot

Copilot Studio

Snowflake Cortex

OpenAI-based tools

Job description

Thomas Built Buses, Inc. seeks a Senior Data and AI Specialist to lead data science, analytics, and AI initiatives in a hybrid Detroit setting.

You will partner with enterprise AI, data engineering, and security teams to design and govern AI-enabled solutions that drive operational efficiency and data-driven decision making. The role requires strong AI/ML architecture experience, cross-functional leadership, and the ability to translate complex technology into business value while aligning with