Job Description

This is a remote position.

Director, AI & Data Technologies  

Location : Helena, MT (Remote) 

The Staff Pad has partnered with a leading healthcare organization in Helena, Montana to hire a Director of AI and Data Technologies.  

This senior leader will  establish and oversee the enterprise-wide AI and data strategy, ensuring the organization  leverages   cutting-edge technologies to advance clinical care, operational efficiency, and decision-making. The Director will build and guide high-performing AI, analytics, and data engineering teams, while shaping a strong data-driven culture across the enterprise.  

Position Overview  

The Director of AI & Data Technologies leads the organization’s AI, machine learning, and data strategy, driving innovation and ensuring responsible, secure, and effective use of data assets. This role oversees AI/ML development, modern data architecture, data governance, and enterprise-wide adoption of emerging technologies that support business transformation and improved outcomes.  

Key Responsibilities  

Strategy & Leadership  

• Establish and maintain an industry-standard AI and data framework.  
  
• Develop the enterprise AI and data strategy, roadmap, and measurable outcomes.
  
• Lead, mentor, and grow teams across analytics, business intelligence, machine learning engineering, and data engineering.
  
• Promote a data-driven culture through organization-wide education, literacy, and responsible AI practices.
  
• Collaborate with executives, cross-functional leaders, and vendor partners to embed AI and data insights into business operations and digital transformation initiatives.  
  

Technical Oversight & Implementation  

• Oversee the development, deployment, and monitoring of AI/ML models, including generative AI, predictive analytics, and deep learning solutions.  
  
• Provide technical direction on scalable data architecture, including data lakes, data warehouses, ETL pipelines, and cloud-based systems.  
  
• Drive innovation by identifying and introducing new AI/ML technologies, platforms, and opportunities for competitive advantage.  
  
• Implement best practices for  MLOps ,  DataOps , and model governance to ensure reliability, accuracy, and scalability of production systems.  
  

Governance & Ethics  

• Lead data governance to ensure data quality, security, integrity, and availability.  
  
• Ensure ethical and responsible AI use, including bias mitigation, transparency, and explainability.  
  
• Oversee compliance with data privacy laws and emerging AI regulatory frameworks (GDPR, CCPA, etc.).  
  
• Identify and manage risks related to AI, data operations, security, and regulatory obligations.  
  

Required Knowledge & Experience  

Technical Expertise  

• Advanced knowledge of AI/ML, deep learning, statistical modeling, and algorithms.  
  
• Proficiency with Python, R, and modern AI frameworks ( PyTorch , TensorFlow, etc.).  
  
• Experience with cloud AI and data platforms (AWS, Azure, GCP).  
  
• Strong understanding of data engineering, ETL pipelines, data warehousing, and big data technologies (Spark, Snowflake, etc.).  
  

Education  

• Bachelor’s or  Master’s degree in Data Science , Computer Science, Engineering, AI, or related quantitative  field required.  
  
• PhD preferred for highly technical leadership roles.  
  

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