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.
Job Tags
Full time, Remote work,