Inside the Role
The Senior Data and AI Specialist serves as a technical leader responsible for advancing Detroit's data, analytics, artificial intelligence, and automation capabilities. This role partners with enterprise AI, data engineering, infrastructure, cybersecurity, and business teams to design, implement, and govern AI-enabled solutions that drive operational efficiency, data-driven decision making, and business value.
The position combines expertise in data engineering, business intelligence, AI/ML architecture, analytics delivery, and technical project leadership. The Senior Data and AI Specialist acts as a trusted advisor, helping the organization identify, evaluate, and deploy AI technologies while ensuring alignment with enterprise standards, security requirements, governance policies, and long-term business objectives.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

Position offers a starting salary range of $117,000 - $150,000 USD

Pay offered dependent on knowledge, skills, and experience.

Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective 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 and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.

What You Will Drive

• Data Science Engineering & Analytics Delivery
  • Build, support, and guide solutions across data engineering, automation, advanced analytics, reporting, and visualization.
  • Apply data engineering concepts, data modeling, and database knowledge to help solve complex business challenges.
• AI Platform Enablement & Configuration
  • Develop a deep understanding of enterprise AI platforms available across the global enterprise, such as Microsoft Copilot, Copilot Studio, LibreChat, Snowflake Cortex, and other approved internal AI tools.
  • Partner with technical teams to define, document, and implement standardized AI configurations for Detroit in alignment with enterprise architecture and governance.
• Infrastructure, Security & Ownership Clarity
  • Define and document roles, responsibilities, and ownership across AI platforms, security controls, and operational support.
  • Coordinate with infrastructure, enterprise architecture, cyber security, and governance teams on items such as endpoints, firewall requirements, IAM roles, and access patterns.
• AI Architecture & Pipeline Integration
  • Collaborate with data engineers, platform owners, application teams, and business partners to design and implement AI/ML pipelines and workflows.
  • Support end-to-end AI architecture documentation, including data ingestion, processing, orchestration, model execution, integration points, and operational dependencies.
• AI Strategy, Advisory & Use Case Enablement
  • Partner with global technical teams, enterprise AI teams, and business stakeholders to identify where AI/ML, automation, analytics, or business intelligence can improve business performance, operational efficiency, and decision-making.
• Performance, Cost & Optimization
  • Evaluate performance, scalability, token usage, compute consumption, and cost implications of AI platform configurations and architectural decisions. Recommend approaches that balance speed, value, governance, cost efficiency, and long-term maintainability.
• Cross-Functional Collaboration & AI Adoption
  • Partner with teams driving end-user AI adoption and enablement to ensure alignment between technical capabilities and business adoption strategies.
  • Act as the technical counterpart to AI enablement initiatives.
  • Act as a key point of contact for AI related data and technical topics.
• Project & Initiative Leadership
  • Lead and coordinate DDC AI and data technology initiatives across cross-functional teams, managing scope, dependencies, risks, stakeholders, communication, and delivery milestones for medium to large complex projects.
• Continuous Improvement & Emerging Technology Awareness
  • Stay current on AI/ML, GenAI, agentic approaches, automation, data engineering, analytics, cloud, and governance trends.
  • Recommend opportunities to improve standards, tooling, workflows, and solution delivery practices.

Knowledge You Should Bring

• Bachelor's Degree in Computer Science, Data Science, Information Systems or 5-8 years of relevant experience in data analytics, AI/ML, automation, business intelligence, or data engineering related roles.
• Working understanding of AI/ML concepts, LLMs, prompt-based systems, tokens, GenAI, automation, BI, and agentic approaches.
• Hands-on familiarity with enterprise AI and productivity platforms such as Microsoft Copilot, Copilot Studio, Snowflake Cortex, OpenAI-based tools, or similar approved enterprise AI platforms.
• Demonstrated proficiency or strong working knowledge in database concepts, data modeling, data extraction, and transformation.
• Experience with business intelligence and analytics tools such as Power BI, or comparable enterprise analytics platforms.
• Familiarity with cloud and hybrid environments, access provisioning, network dependencies, IAM roles, and security considerations for enterprise data and AI solutions.
• Knowledge of data governance, information security, enterprise standards, policies, and measures to protect sensitive data.
• Ability to evaluate technical trade-offs across architecture, user experience, speed to value, risk, cost, scalability, maintainability, and governance.
• Strong project leadership skills with the ability to lead department-level and cross-functional initiatives of notable complexity, risk, dependencies, and resource requirements.
• Excellent communication, facilitation, presentation, and interpersonal skills, including the ability to translate complex AI, data, and technical concepts into clear business language for stakeholders at multiple levels.
• Ability to navigate complex organizational structures and align Detroit, DTNA, and Global stakeholders around standards, ownership, and implementation decisions.
• Ability to learn new technologies quickly, adapt to changing technology landscapes, and operate effectively in ambiguous situations.

Exceptional Candidates May Have

• Experience implementing, configuring, or operationalizing enterprise AI platforms, copilots, agents, or LLM-enabled solutions.
• Experience moving AI/ML, automation, analytics, or data engineering solutions beyond prototype into governed, production-ready solutions.
• Experience with AI/ML pipelines, data engineering patterns, model integration, workflow orchestration, or enterprise architecture standards.
• Experience with cost governance for cloud, AI token, processing and compute on various platform workloads.
• Experience in manufacturing or automotive environments.

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Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-
Detroit, MI US. Relocation assistance is not available for this position.

Schedule Type:
Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.