Director, Intelligent Automation & Advanced Analytics

Idaho National Laboratory•Idaho Falls, ID

7d•Hybrid

About The Position

This role involves leading the Intelligent Automation Center of Excellence (CoE) and the Data Insights & Advanced Analytics CoE. The primary goal is to foster the use of Intelligent Automation techniques to optimize laboratory-wide processes, manage business data as a valuable resource, and drive the development and deployment of enterprise intelligent automation and data & analytics platforms for digital business. The position requires leading strategy, collaborating with key stakeholders to ensure timely and high-quality digital product releases, and standardizing the use and governance of data and analytics to support the Lab’s business strategy. This includes governance of data and algorithms for analysis, analytical applications, and automated decision-making. The role also emphasizes demonstrating leadership, mentorship, INL values, ensuring proper curation and accessibility of Laboratory records, and leading regulatory and compliance programs related to AI data and analytics assets. Furthermore, it involves developing and maintaining controls on data quality and reliability, creating policies for information asset protection, and implementing systems for data infrastructure, management, accuracy, security, privacy, analytics, intelligence, integrity, and availability. Coordination with Cybersecurity for integrated data protection and privacy is also a key responsibility.

Requirements

Master's degree in Information Systems, Computer Science, Data Science, Artificial Intelligence, Machine Learning or related field and 10 years of relevant experience, OR Bachelor's degree in a related field and 15 years of relevant experience
Minimum of 5 years of leadership experience
Minimum 5 years of experience with data management and data analytics, including exposure to modern tools and techniques, governance, centers of excellence, and advanced analytics techniques
Minimum 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 and having 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 (fairness, and bias monitoring) in a compliance-sensitive industry
Experience building or scaling citizen-development or champions-network adoption programs
Must be a US Citizen with the ability to obtain and maintain a DOE Q security clearance.

Nice To Haves

Demonstrate leadership, mentorship and strong INL values.

Responsibilities

Lead the Intelligent Automation Center of Excellence (CoE) and Data Insights & Advanced Analytics CoE.
Foster the use of Intelligent Automation techniques to optimize lab wide processes.
Create systems within the Laboratory to manage business data as a valuable resource.
Drive the development and deployment of the enterprise's intelligent automation and data & analytics platforms for digital business.
Lead strategy and the development of intelligent automation techniques and data & analytics products.
Collaborate with relevant directorate directors, CTO and CIO to ensure digital products are released on time, on budget and with high quality.
Identify and standardize the use and governance of data and analytics in support of the Lab’s business strategy.
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 on data quality and reliability to effectively manage risk associated with the use of data and analytics.
Create policies and controls for the appropriate protection of Laboratory information assets through a defined life cycle.
Create and implement systems for data infrastructure, management, accuracy, security and privacy; data analytics and intelligence; data integrity and availability.
Coordinate with Cybersecurity to implement the program for an integrated data protection, privacy and controlled information system(s).