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ICT AI Business Analyst/Data Analyst

Auburn Hills, MI, US • Posted 6 hours ago • Updated 6 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

ICT
Bridging
Use Cases
KPI
Functional Requirements
Collaboration
Data Quality
Process Flow
Test Cases
Release Notes
Acceptance Testing
Training
Risk Assessment
Documentation
Regulatory Compliance
Decision-making
Information Systems
Computer Science
Product Analysis
Data Analysis
User Stories
Machine Learning (ML)
Management
Unsupervised Learning
Evaluation
Generative Artificial Intelligence (AI)
Data Engineering
Data Science
Software Engineering
Agile
Stakeholder Management
Facilitation
Communication
Continuous Improvement
Analytics
SQL
Python
R
Microsoft Power BI
Tableau
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Machine Learning Operations (ML Ops)
Artificial Intelligence
Privacy
Finance
Supply Chain Management
Customer Service
Manufacturing
Health Care
Business Analysis
Business Analytics
Project Management
Performance Management
Preventive Maintenance
Certified Business Analysis Professional
PMBOK
SAFE

Summary

Role Summary The AI Business Analyst (AI BA) bridges business stakeholders and technical teams to identify, define, and deliver AI/ML and generative AI solutions that create measurable business value. This role translates business problems into clear requirements, supports data and model readiness, helps manage delivery from discovery through adoption, and ensures solutions meet governance, risk, and compliance expectations.

Key Responsibilities:

Partner with stakeholders to understand objectives, pain points, and decision processes; translate into AI use cases and user stories.
Facilitate discovery workshops; document current-state processes, target outcomes, and measurable KPIs/OKRs.
Define functional and non-functional requirements for AI products (accuracy, latency, explainability, human-in-the-loop, monitoring, and auditability).
Collaborate with data engineering and analytics to identify data sources, data quality needs, labeling requirements, and feature definitions.
Support model lifecycle planning with product/ML teams (training approach, evaluation metrics, drift monitoring, retraining triggers).
Draft and maintain documentation: business requirements, process flows, acceptance criteria, test cases, and release notes.
Coordinate UAT and operational readiness; validate outputs with SMEs and ensure adoption plans are in place (training, comms, support).
Contribute to AI governance activities: risk assessments, privacy and security reviews, model documentation, and compliance alignment.
Track delivery progress, dependencies, and risks; communicate status and facilitate decision-making.
Measure post-launch performance and benefits realization; identify enhancements and new opportunities.

Basic Qualifications:

Bachelor's degree in Business, Information Systems, Data/Analytics, Computer Science, or related field
Minimum 3 years of experience in business analysis, product analysis, or a related role delivering data/analytics or software solutions.
Demonstrated ability to write clear requirements (epics/user stories/acceptance criteria) and map processes.
Working knowledge of AI/ML concepts (supervised vs. unsupervised learning, evaluation metrics, model drift) and/or generative AI concepts (prompting, retrieval-augmented generation, hallucinations/grounding).
Experience partnering with technical teams (data engineering, data science, software engineering) using Agile delivery methods.
Strong stakeholder management, facilitation, and communication skills; able to explain technical topics to non-technical audiences.

Preferred Qualifications:

Experience delivering AI products in production, including monitoring and continuous improvement.
Hands-on analytics skills (SQL; familiarity with Python/R; dashboarding tools such as Power BI/Tableau).
Familiarity with cloud data/AI platforms (e.g., Azure, AWS, Google Cloud Platform) and MLOps concepts.
Knowledge of responsible AI practices (bias/fairness considerations, explainability, privacy-by-design).
Domain expertise in the business area supported (e.g., finance, supply chain, customer service, manufacturing, healthcare).
BA/PM certifications (CBAP, PMI-PBA, PSPO/CSPO, SAFe) are a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183256
Position Id: 58f854b2351868649cff042bc2230fc2
Posted 6 hours ago

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