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Data Analyst AI Engineer (Applied/Software) Machine Learning/ ML Engineer Data Scientist

AI​/ML Business Analyst

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Artech
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

AI/ML Business Analyst

We are seeking a highly experienced AI-focused Business Analyst to drive the identification, analysis, and implementation of Artificial Intelligence and Machine Learning solutions across the organization. This role bridges the gap between business objectives and data science/engineering teams, ensuring AI initiatives deliver measurable business value, ethical compliance, and scalability.

Candidate must be local to Naperville.

Key Responsibilities
  • Business Strategy & AI Opportunity Identification:
    Identify and evaluate AI/ML use cases aligned with business goals (e.g., predictive analytics, NLP, computer vision).
  • Collaborate with leadership to define AI strategy and roadmap.
  • Conduct feasibility analysis including cost-benefit, ROI, and risk assessment.
  • Recommend AI-driven solutions to improve efficiency, decision-making, and customer experience.
  • Requirements Engineering for AI Solutions:
    Elicit and document AI-specific functional and non-functional requirements.
  • Translate business problems into data science problems and hypotheses.
  • Define model inputs/outputs, training data requirements, and performance metrics (accuracy, precision, recall, etc.).
  • Develop user stories, epics, and AI use case documentation.
  • Data Analysis & Management:
    Analyze data sources to assess data availability, quality, and readiness.
  • Data governance and compliance requirements.
  • Collaborate with data engineers to define data pipelines, data cleaning and transformation needs.
  • Support creation of data dictionaries and metadata documentation.
    • Company Benefits & Culture
    • Inclusive and diverse work environment
    • Opportunities for professional growth and development
    • Comprehensive health and wellness benefits
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