AI Governance & GRC Engineer

Worldwide Clinical Trials; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Worldwide Clinical Trials is actively seeking a Governance, Risk and Compliance (GRC) AI Engineer to drive the Enterprise AI Governance Framework. The role involves engineering, configuring, integrating, and operating AI governance controls across Microsoft Purview and related security and data governance technologies.

You will partner with the enterprise AI team, Office of the CISO, and IT to enable responsible AI adoption while protecting sensitive information and meeting regulatory, privacy,

Qualifications

• Bachelor’s degree in cybersecurity, information technology, computer science, data science, engineering, risk management, or a related field.
• Five or more years of progressive experience in cybersecurity, security engineering, data governance, GRC technology, cloud security, or a related technical discipline.
• Experience configuring and administering Microsoft Purview capabilities such as Information Protection, Data Loss Prevention, Audit, Data Lifecycle Management, Records Management, Compliance Manager, or Data Map and Data Catalog.
• Practical experience supporting AI, machine learning, generative AI, copilots, agents, or related technologies in an enterprise environment, with an understanding of associated security, privacy, data, governance, and operational risks.
• Ability to translate governance or control requirements into technical configurations, workflows, integrations, monitoring, test procedures, and evidence.

Responsibilities

• AI governance engineering: Translate the Enterprise AI Governance Framework, policies, standards, risk criteria, and approval requirements into technical configurations, automated workflows, control checks, monitoring, and evidence.
• Microsoft Purview administration: Configure and maintain Purview capabilities supporting AI and data governance, including data classification, sensitivity labels, DLP, information protection, retention, audit, data cataloging, and compliance monitoring.
• AI technology enablement: Evaluate, configure, integrate, and support approved AI governance and security technologies to discover AI use, protect enterprise data, assess risk, enforce requirements, and monitor ongoing compliance.
• Control design and implementation: Partner with GRC, security architects, engineering teams, Privacy, Legal, and business owners to design preventive and detective controls for AI solutions.
• AI inventory and intake: Implement processes that support inventory, classification, review, approval, and traceability of AI systems, models, data sources, owners, vendors, and changes.
• Risk assessment enablement: Build workflows, templates, rules, and data connections that support AI impact assessments, security reviews, privacy reviews, and risk acceptance.
• Data protection: Work with data and security teams to identify sensitive information used by AI solutions and implement appropriate classification, access, sharing, retention, monitoring, and DLP controls.
• Technical validation: Develop and execute test plans to confirm AI governance controls and configurations work as intended; document results and evidence.
• Monitoring and alerting: Establish operational monitoring for governance events; investigate alerts and coordinate corrective action.
• Automation and integration: Use scripting, APIs, and low-code tools to connect AI governance processes with enterprise systems.
• Metrics and reporting: Maintain data and dashboards covering AI inventory, review status, risk ratings, control coverage, incidents, and remediation.
• Status communication: Provide concise updates to AI team, Office of the CISO, DFS, and GRC leadership.
• Operational documentation: Maintain architecture diagrams, runbooks, data flows, test records, and change history.
• Platform lifecycle management: Monitor roadmaps, plan upgrades, and ensure solutions remain secure and aligned with requirements.
• Stakeholder partnership: Serve as a technical bridge among GRC, AI team, security, data governance, IT, Privacy, Legal, DFS, and business teams.

Skills

Cybersecurity

GRC technology

Data governance

AI risk management

Scripting / automation

Education

Bachelor’s degree in cybersecurity/IT/CS

Tools

PowerShell

Python

REST APIs

Power Platform

Job description

Worldwide Clinical Trials is actively seeking a Governance, Risk and Compliance (GRC) AI Engineer to drive the Enterprise AI Governance Framework. The role involves engineering, configuring, integrating, and operating AI governance controls across Microsoft Purview and related security and data governance technologies.

You will partner with the enterprise AI team, Office of the CISO, and IT to enable responsible AI adoption while protecting sensitive information and meeting regulatory, privacy,