AI Specialist Job Salt Lake City area,Utah USA,IT/Tech

Job Details

Location:

SALT LAKE CITY, UT 84124

The AI Specialist is responsible for leveraging advanced artificial intelligence tools and methodologies to analyze sales, customer, operational, and market data to identify actionable business opportunities. This role serves as a cross-functional subject matter expert (SME), partnering with organizational leaders to design, implement, and scale AI-driven solutions tailored to the specific needs of each business unit.

The AI Specialist also ensures the secure, compliant, and effective use of AI technologies by working closely with the Information Security (Info Sec) team to establish governance standards, mitigate risk, and ensure adherence to internal policies and external regulatory requirements.

Qualifications

Education:

Bachelor’s degree in data science, Computer Science, Business Analytics, or related field (master’s preferred)
Work Experience:

3-7+ years of experience in data analytics, AI/ML, or business intelligence roles
Hands-on experience with AI tools, machine learning models, or large language models (LLMs)
Strong understanding of data analysis techniques, statistical methods, and predictive modeling
Experience working with cross-functional teams, including IT and Info Sec, in a governed environment
Experience with sales analytics, market analysis, or revenue operations
Experience integrating AI solutions with enterprise systems (ERP, CDP, BI tools)
Familiarity with AI governance frameworks, cybersecurity principles, and data privacy standards
Knowledge of prompt engineering and LLM optimization techniques

Skills and General Experience

Atlassian tools (e.g., Jira Software, Jira Service Management, Jira Assets, Confluence)
Analytical Rigor – Ability to derive meaningful insights from complex datasets
Business Acumen – Strong understanding of how data translates to business value
Technical Fluency – Deep knowledge of AI/ML tools, models, and platforms
Communication – Ability to explain complex AI concepts to non-technical stakeholders
Change Leadership – Driving adoption of new technologies across diverse teams
Security & Risk Awareness – Strong understanding of secure and compliant AI usage
Ethical Judgment – Ensuring responsible, secure, and compliant use of AI

Required Licenses

None

Physical Requirements

General physical requirements:
Light work
Visual acuity requirements:
Computer work, close inspection
Motion and sensory requirements:
Standing, sitting, lifting, grasping, talking, hearing
Physical working conditions:
Inside Environment

Essential Functions

Data Analysis & Opportunity Identification

Utilize AI/ML models and tools to analyze sales performance, operations, customer behavior, and market trends
Identify revenue growth opportunities, margin improvements, and operational efficiencies
Translate complex analytical outputs into clear, actionable business insights, operational decisions and financial reporting
Build predictive and prescriptive models to support forecasting and decision-making

AI Strategy & Business Enablement

Partner with functional leaders (Sales, Marketing, Finance, Supply Chain, etc.) to identify high-value AI use cases
Design tailored AI solutions aligned to department-specific goals and workflows
Lead pilot programs and scale successful AI initiatives across the organization
Act as a bridge between technical capabilities and business needs

AI Governance, Security & Best Practices

Serve as the internal expert on responsible AI usage, including data privacy, model governance, and risk mitigation
Work closely with the Info Sec team to ensure AI tools and data usage comply with security standards and policies
Define and enforce policies for secure AI implementation and usage
Evaluate and select appropriate AI models (e.g., LLMs, predictive models) based on use case, risk, and performance
Ensure compliance with internal policies and external regulatory requirements

Implementation & Integration

Collaborate with IT, data teams, and Info Sec to integrate AI solutions into existing systems (e.g., ERP, S&OP, CDP, BI platforms)
Ensure secure data handling, access controls, and model deployment practices
Oversee data readiness, model deployment, and performance…