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Director of AI

Job in Duluth, St. Louis County, Minnesota, 55806, USA
Listing for: Pace® Analytical Services
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, IT Project Manager, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 USD Yearly USD 100000.00 YEAR
Job Description & How to Apply Below

Shift Monday through Friday, 8:00 AM - 5:00 PM

Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives.

Compensation: $100,000 per year

IT Director of Artificial Intelligence (AI) Position Summary

The Director of Artificial Intelligence (AI) is responsible for leading the organization’s AI strategy, development, and implementation. This role combines strategic leadership with technical expertise to identify opportunities where artificial intelligence can drive operational efficiency, improve customer experience, enhance decision-making, and create new capabilities across the organization.

The Director of AI will lead a team of AI specialists—including developers, analysts, and data professionals—to design, build, and deploy AI-driven solutions that deliver measurable business value. This role will establish the vision and roadmap for AI initiatives, ensure responsible and effective use of data and machine-learning technologies, and work cross-functionally with leadership, IT, and business units to integrate AI into organizational processes.

As a member of the IT senior leadership team, the Director of AI is responsible for providing leadership for overall IT operations and administration of corporate information management and services, including vision and leadership of enterprise applications, technology infrastructure, information technology policies and cybersecurity, including the development of strategic and tactical plans for emerging information technologies.

AI Strategy and Leadership
  • Develop and lead the organization’s AI strategy aligned with business goals and long-term innovation objectives.
  • Identify opportunities where AI and machine learning can improve operations, decision-making, customer experience, and organizational performance.
  • Establish and maintain a prioritized roadmap for AI initiatives across the organization.
  • Serve as the organization’s subject‑matter expert on artificial intelligence and related emerging technologies.
  • Advise executive leadership on AI capabilities, opportunities, risks, and investment priorities.
AI Solution Development
  • Lead the design, development, and deployment of AI and machine‑learning solutions.
  • Oversee the full lifecycle of AI initiatives including opportunity assessment, solution design, model development, testing, deployment, and ongoing optimization.
  • Ensure AI solutions are scalable, secure, and integrated with existing data and technology systems.
  • Guide the selection and implementation of AI tools, platforms, and technologies.
  • Measure adoption and business impact resulting from AI solution implementation.
Team Leadership and Management
  • Build, lead, and mentor a team of AI specialists including developers, data scientists, machine learning engineers, and analysts.
  • Establish best practices for AI development, model management, and data workflows.
  • Foster a culture of innovation, collaboration, and continuous learning within the AI team.
  • Manage staffing, professional development, and performance of AI team members.
Data Strategy and Engineering
  • Collaborate across IT and data teams to ensure the organization has the data infrastructure required to support AI initiatives.
  • Promote strong data governance, data quality, and data management practices.
  • Ensure AI models are built on reliable, well‑governed, and properly structured data sources.
  • Support the development of scalable data pipelines and AI‑ready data architectures.
Organizational Integration
  • Work with department leaders to identify business problems that can be addressed using AI and advanced analytics.
  • Translate business needs into technical AI solutions and implementation plans.
  • Lead cross‑functional collaboration between technical teams and operational stakeholders.
  • Drive adoption of AI capabilities across the organization and measure ongoing business impact.
Governance, Ethics, and Risk Management
  • Establish policies and best practices for responsible and ethical AI use.
  • Ensure compliance with relevant data privacy, security, and regulatory…
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