AI Subject Matter Expert

Jobtailor; Deutschland; Remote; EUR 129.000 - 164.000; Vollzeit

Zusammenfassung

Jobtailor seeks a senior AI advisor to guide the VHA National AI Institute on risk management, governance, and enterprise strategy for AI implementations across multiple health units.

The role involves translating complex federal AI policies into practical guidance, developing risk stratification pilots, and delivering training materials for AI stakeholders in a healthcare setting.

Qualifikationen

• More than 15 years of experience in the life sciences industry focused on creating and delivering data science and artificial intelligence solutions.
• Eight or more years developing or applying AI tools inside a healthcare enterprise at scale preferred.
• Experience leading efforts to aggregate, analyze, and interpret health information.
• Experience using data platforms to scale machine learning algorithms through a ModelOps AI platform.

Aufgaben

• Serve as the contractor team’s senior AI technical advisor to the VHA National AI Institute across AI inventory, risk management, oversight, and enterprise strategy workstreams.
• Translate federal AI policy into actionable guidance for non-specialist VHA audiences.
• Advise AI use case owners on developing and executing AI risk management plans through working sessions, office hours, and asynchronous support.
• Develop AI risk stratification pilots and governance playbooks for enterprise deployment.

Kenntnisse

AI Risk Management

Healthcare Data Science

Federal AI Policy

ModelOps

Governance

Ausbildung

Doctorate in Computational/Life Sciences

Tools

ModelOps Platforms

VA Arches

AI Governance Frameworks

Jobbeschreibung

• Serve as the contractor team’s senior AI technical advisor to the VHA National AI Institute across AI inventory, risk management, oversight, and enterprise strategy workstreams


• Author and maintain AI risk management playbooks, standard operating procedures, guides, and living FAQ documents


• Translate federal AI policy into actionable guidance for non-specialist VHA audiences


• Advise AI use case owners on developing and executing AI risk management plans through working sessions, office hours, and asynchronous support


• Design and execute an AI risk stratification pilot, including a methodology for evaluating and assigning risk levels to AI systems


• Support VHA business units in creating and updating AI innovation and governance strategies across at least five business units


• Develop training materials and deliver training webinars for AI use case owners and AI oversight personnel


• Provide expert content and programming for VHA AI governance entities, including trainings and summits


• Research emerging AI risk management approaches and tools for briefings to Institute leadership and government stakeholders


• Develop AI entrepreneur and adopter playbooks covering internal development and vendor evaluation pathways


• Advise government decision-makers without making agency decisions

Requirements

• More than 15 years of experience in the life sciences industry focused on creating and delivering data science and artificial intelligence solutions to accelerate healthcare innovation


• Eight or more years developing or applying AI tools inside a healthcare enterprise at scale preferred


• Experience leading efforts to aggregate, analyze, and interpret health information


• Experience developing processes, solutions, and information architectures leveraging medical images, electronic health records, wearable data, and -omics data


• Experience using data platforms to scale machine learning algorithms through a ModelOps AI platform


• Doctorate degree in a computational, data science, health informatics, clinical, or life sciences discipline


• Must be able to obtain and maintain a favorably adjudicated Tier 1 / NACI background investigation


• Must complete VA Privacy and Information Security Awareness and Rules of Behavior training (TMS #10176) prior to system access and annually thereafter


• Must be authorized to work in the United States


• All work must be performed within a jurisdiction subject to the law of the United States or its territories


• Command of federal AI policy and governance, including EO 13960, OMB M-25-21 and M-25-22, the VA Trustworthy AI Framework, and the NIST AI Risk Management Framework


• Experience with AI use case inventories, model registries, or comparable enterprise AI transparency mechanisms


• Familiarity with ModelOps or comparable platforms


• Prior VA, VHA, DoD health, or other federal health agency experience strongly preferred


• Experience advising clinical stakeholders on AI risk in a health system setting


• Familiarity with VA Arches or comparable accredited federal AI and analytics environments


• Experience authoring governance artifacts such as charters, playbooks, SOPs, and assessment guides adopted by an operating organization


• Knowledge of military and Veteran populations


• Outstanding written and verbal communications skills

Core Competencies

Expertise in AI risk management and governance within healthcare, with a strong focus on developing actionable strategies and training for AI use case owners. Proven ability to translate complex federal AI policies into practical guidance for diverse audiences while leveraging extensive experience in data science and artificial intelligence solutions.

Highest-signal resume keywords

• AI Risk Management


• Healthcare Data Science Solutions


• Federal AI Policy Command


• ModelOps AI Platform Experience


• Governance Artifact Authoring

ATS Optimization Keywords

Hard Skills

• AI Risk Stratification


• Data Analysis and Interpretation


• Medical Image Processing


• Electronic Health Records Management


• Wearable Data Integration


• Omics Data Utilization


• Machine Learning Algorithm Scaling


• AI Use Case Inventory Management


• Governance Playbook Development


• Training Material Development

Soft Skills

• Outstanding Written Communication


• Outstanding Verbal Communication

Certifications & Qualifications

• Doctorate Degree in Computational or Life Sciences


• VA Privacy and Information Security Awareness Training

Industry Keywords

• Life Sciences Industry


• Healthcare Innovation


• Federal Health Agency Experience


• Military and Veteran Populations


• AI Governance

Tools & Technologies

• ModelOps Platforms


• VA Arches


• AI Governance Frameworks