Director, Intelligent Automation & Advanced Analytics

Idaho National Laboratory•Idaho Falls, ID
•$127,596 - $331,752•Onsite

About The Position

Idaho National Laboratory (INL) is seeking a leader for its Information Technology team to direct Intelligent Automation and Advanced Analytics. The role leads the Intelligent Automation Center of Excellence and the Data Insights & Advanced Analytics Center of Excellence, shaping enterprise strategies, platforms, governance, and products for intelligent automation, data, and analytics. The position is based in the Idaho Falls, Idaho office, reports directly to the Assistant Lab Director, and follows a 9x80 schedule with every other Friday off. The Director is responsible for advancing the use of automation and analytics across the Laboratory while establishing systems and controls for managing business data and protecting information assets. The role works with directorate directors, the CTO, CIO, and Cybersecurity to deliver digital products and integrated data protection, privacy, and controlled information systems. It also leads regulatory and compliance programs for AI, data, and analytics assets. INL is a science-based applied engineering national laboratory supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. The laboratory has more than 6,300 scientists, researchers, and support staff and works with government, university, and industry partners. The role is a testing-designated position requiring pre-employment and periodic drug testing. Applicants must be U.S. citizens able to obtain and maintain a DOE Q security clearance.

Requirements

  • Master’s degree in a business, technical, or related field and 10 years of relevant experience, or a bachelor’s degree in the same fields and 15 years of relevant experience.
  • At least 5 years of leadership experience for an integrated data protection, privacy, and controlled information system or systems.
  • 3–5 years of experience with intelligent automation, including exposure to modern tools and techniques, governance, centers of excellence, and automation techniques.
  • Demonstrated experience with enterprise AI strategy, governance, or responsible-AI program development, including model risk management, AI policy development, or AI vendor/platform evaluation; must have led this function in another organization.
  • Direct experience with agentic AI, large language models, and generative AI governance in an enterprise or regulated setting.
  • Exposure to advanced analytics tools and techniques.
  • Exposure to intelligent automation tools, including RPA, machine learning, and artificial intelligence.
  • Experience in Centers of Excellence or similar structures, including request intake, scoring, prioritization, cross-organization governance, solutions delivery, and overall operations.
  • Experience establishing AI/data ethics frameworks, including fairness and bias monitoring, in a compliance-sensitive industry.
  • Experience building or scaling citizen-development or champions-network adoption programs.
  • U.S. citizenship and ability to obtain and maintain a DOE Q security clearance.

Nice To Haves

  • Master’s degree in Information Systems, Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field and 10 years of experience, or a bachelor’s degree in a related field and 15 years of relevant experience.

Responsibilities

  • Lead the Intelligent Automation Center of Excellence and the Data Insights & Advanced Analytics Center of Excellence.
  • Foster the use of intelligent automation techniques to optimize Laboratory-wide processes.
  • Create systems to manage business data as a valuable Laboratory resource.
  • Drive development and deployment of enterprise intelligent automation and data and analytics platforms for digital business.
  • Lead strategy and development of intelligent automation techniques and data and analytics products.
  • Collaborate with directorate directors, the CTO, and the CIO to ensure digital products are delivered on time, within budget, and at high quality.
  • Identify and standardize the use and governance of data and analytics in support of the Laboratory’s business strategy, including governance of data and algorithms used in analysis, analytical applications, and automated decision-making.
  • Demonstrate leadership, mentorship, and INL values.
  • Ensure Laboratory records and documents are properly curated and accessible.
  • Lead regulatory and compliance programs related to AI, data, and analytics assets.
  • Develop and maintain controls for data quality and reliability to manage risks associated with data and analytics.
  • Create policies and controls to protect Laboratory information assets throughout their lifecycle, from acquisition or creation through end-of-life destruction and disposal.
  • Create and implement systems for data infrastructure, management, accuracy, security, privacy, analytics, intelligence, integrity, and availability.
  • Coordinate with Cybersecurity to implement an integrated data protection, privacy, and controlled information systems program.

Benefits

  • Medical, dental, and vision coverage.
  • Flexible Spending Accounts.
  • 401(k) with a 4.2% employer contribution and up to a 4.8% match for regular positions.
  • Paid time off (personal leave).
  • Employee Education Program with tuition assistance for eligible positions.
  • Comprehensive relocation package.
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