IT Business Analyst - AI Boston, MI

17757 Woodland Drive, New Boston, Michigan

10684

Full-Time/Regular

We are AUTOKINITON

AUTOKINITON delivers operational excellence, high-quality execution, and customer service. We offer 100% vertical integration capabilities such as end-to-end engineering, manufacturing, and in-house logistics.

We’re proud of our Tier 1 supplier legacy for manufacturing propulsion-agnostic, structural automotive components, and assemblies around the globe.

To help us drive excellence, you’ll get to:

• Analyze current business processes and workflows to identify inefficiencies and areas for improvement.
• Partner with business and IT leadership to identify and prioritize AI opportunities.
• Lead AI adoption roadmap aligned with enterprise applications and data governance.
• Facilitate discovery sessions for AI-specific requirements.
• Analyze processes for AI and automation opportunities.
• Serve as project lead for AI initiatives.
• Create end-user training and adoption materials and strategies
• Establish monitoring of performance of AI models and automations.
• Lead cross-functional AI working groups.
• Ensure AI activities follow cybersecurity, data classification, and IAM requirements.
• Develop and propose IT solutions that align with business objectives and improve operational efficiency.
• Assist in the planning, execution, and monitoring of IT projects, ensuring they are completed on time and within budget.
• Collaborate with stakeholders to gather and document business requirements.
• Work with IT teams to ensure seamless integration of new systems with existing infrastructure.
• Conduct testing and validation of new systems to ensure they meet business requirements and function correctly.
• Training and Support:
  Provide training and support to end-users to ensure they can effectively use new systems and technologies.
• Documentation:
  Maintain comprehensive documentation of business processes, requirements, and IT solutions.

This salary exempt role is a part of our Corporate IT team and reports to the Enterprise Applications Manager Sr.

Required experience:

• Bachelor’s degree in information technology, Computer Science, Business Administration, or a related field.
• Minimum of 3-5 years of experience as a Business Analyst or Consultant, preferably in the automotive manufacturing industry.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Proficiency in business process modeling and data analysis tools.
• Knowledge of IT systems and software development lifecycle.
• Ability to translate technical concepts into business terms.
• Ability to facilitate discovery sessions with business stakeholders, translate problems into AI‑amenable opportunities, and quantify value (efficiency, quality, cost, safety).
• Skilled at prompt design, grounding with enterprise content (SharePoint/One Drive), approval flows, and safe patterns for human‑in‑the‑loop.
• Working knowledge of data classification/labeling, protected data handling, and privacy-by-design; able to incorporate these into AI requirements and acceptance criteria.
• Process Mapping & Redesign for AI/Automation:
  Proficient in current/future‑state mapping, failure‑mode thinking, exception handling, and change impacts—especially in manufacturing/operations contexts.
• Comfortable with SQL and BI (e.g., joins, data quality checks, measures/KPIs) to validate datasets, interpret model outputs, and communicate insights to non‑technical audiences.

Preferred additional skills and abilities:

• Experience with QAD ERP.
• Experience with report writing data mining with ability and strength to learn new tools in this area.
• Familiarity with financial, distribution and manufacturing processes and industry standards.
• Project management certification (e.g., PMP, PRINCE2).
• Ability to analyze complex business problems and propose effective IT solutions.
• Strong verbal and written communication skills to interact with stakeholders at all levels.
• Ability to work effectively in cross-functional teams.
• Flexibility to adapt to changing business needs and priorities.
• Familiarity with Azure OpenAI Service, Cognitive Search/RAG patterns, Synapse/Data Factory/Logic Apps for enterprise‑grade integrations.
• Abilit…