Senior Data and AI Specialist

Daimler Truck North America

Senior Data and AI Specialist advancing AI, analytics, automation, and data engineering for Daimler Truck’s commercial vehicle manufacturing business. Leading governed enterprise AI solutions and complex cross-functional technology initiatives.

Posted 8/5/2026full-timeDetroit • Missouri • 🇺🇸 United StatesSenior💰 $117,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML concepts, data engineering, and enterprise analytics, with a strong focus on developing and implementing AI platform solutions. Proven ability to lead complex projects, coordinate cross-functional teams, and communicate technical concepts effectively to stakeholders.

Highest-signal resume keywords

AI/ML ConceptsData EngineeringPower BIProject LeadershipDatabase Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ExtractionData TransformationAI Pipeline DevelopmentAutomationBusiness IntelligenceEnterprise AI PlatformsCloud EnvironmentsInformation SecurityData Governance

Soft Skills

Excellent CommunicationFacilitation SkillsInterpersonal SkillsPresentation SkillsAbility to Learn Quickly

Tools & Technologies

Microsoft CopilotCopilot StudioSnowflake CortexOpenAI-based ToolsAI Platforms

Industry Keywords

Automotive ExperienceManufacturing ExperienceCost GovernanceEnterprise StandardsSensitive-Data Protection

Tech Stack

Tools & technologies

CloudCyber SecurityFirewalls

About the role

Key responsibilities & impact

Build, support, and guide solutions across data engineering, automation, advanced analytics, reporting, and visualization
Apply data engineering concepts, data modeling, and database knowledge to solve complex business challenges
Develop and configure standardized enterprise AI platform solutions for Detroit
Define and document roles, responsibilities, ownership, security controls, and operational support across AI platforms
Coordinate with infrastructure, enterprise architecture, cybersecurity, and governance teams on endpoints, firewalls, IAM roles, and access patterns
Design and implement AI/ML pipelines and workflows with technical and business teams
Document end-to-end AI architecture, including ingestion, processing, orchestration, model execution, integrations, and dependencies
Identify AI/ML, automation, analytics, and business intelligence use cases that improve performance and decision-making
Evaluate AI platform performance, scalability, token usage, compute consumption, and costs
Partner with AI adoption teams as the technical counterpart to enablement initiatives
Lead and coordinate medium- to large-scale DDC AI and data technology initiatives
Manage project scope, dependencies, risks, stakeholders, communications, and delivery milestones
Recommend improvements to standards, tooling, workflows, and solution delivery practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Information Systems, or 5–8 years of relevant experience in related roles
Minimum 5 years of relevant experience when substituting experience for the degree
Working understanding of AI/ML concepts, LLMs, prompt-based systems, tokens, GenAI, automation, BI, and agentic approaches
Hands-on familiarity with Microsoft Copilot, Copilot Studio, Snowflake Cortex, OpenAI-based tools, or similar enterprise AI platforms
Proficiency or strong working knowledge of database concepts, data modeling, data extraction, and transformation
Experience with Power BI or comparable enterprise analytics platforms
Familiarity with cloud and hybrid environments, access provisioning, network dependencies, IAM roles, and enterprise security considerations
Knowledge of data governance, information security, enterprise standards, policies, and sensitive-data protection
Ability to evaluate trade-offs involving architecture, user experience, speed to value, risk, cost, scalability, maintainability, and governance
Strong project leadership skills for complex department-level and cross-functional initiatives
Excellent communication, facilitation, presentation, and interpersonal skills
Ability to translate complex AI, data, and technical concepts into clear business language
Ability to align Detroit, DTNA, and Global stakeholders around standards, ownership, and implementation decisions
Ability to learn new technologies quickly and work effectively in ambiguous situations
Legally authorized to work permanently in the United States at the time of application
Successful completion of a criminal background check
May be required to successfully complete a pre-employment drug screen
Visa sponsorship is not available and existing visa holders are not eligible
Exceptional candidates may have enterprise AI platform, production AI/ML, AI pipeline, cost governance, manufacturing, or automotive experience

Benefits

Comp & perks

Annual bonus program
401k company contribution with company match up to 6%
Non-elective 401k company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans
Wellness programs
Onsite fitness at some locations
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans