Operationalize and continuously improve the enterprise AI governance framework — translating AI policy and regulatory requirements into practical, repeatable governance processes
Coordinate AI governance work across Privacy, Legal, Compliance, Risk, Information Security, IT, and business teams for consistent application
Manage the end-to-end AI Impact Assessment (AIIA) process for new or materially changed AI use cases— facilitation, cross-functional review, approval, and maintenance of the central AIIA repository
Ensure AI assessments address privacy, fairness/bias, explainability, security, and regulatory considerations
Maintain the AI regulatory register, monitor emerging AI regulation, and help update AI policies, standards, and templates
Support AI-specific third-party due diligence, coordinating with Legal and Procurement and tracking vendor AI systems
Support the Enterprise AI Council — preparing submissions and risk materials, tracking decisions, conditions, and remediation actions
Requirements
Must-Have
5+ years in risk management, compliance, governance, privacy, technology risk, or internal audit
Close familiarity with frameworks such as GDPR, NIST AI RMF, ISO/IEC 42001, and emerging AI regulation
Strong understanding of risk-based governance and regulatory compliance concepts
Experience operating inside complex, regulated, global organizations
Ability to translate policy and regulatory requirements into operational process
Nice-to-Have
Experience with AI, analytics, or automated decision-making governance specifically
Exposure to third-party risk management or vendor due diligence
Experience working in a law firm, legal operations, or legal tech environment
Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
Background in marketing automation, lead generation systems, or paid ads optimization
Experience with chatbots, call automation, or client intake systems
Familiarity with document automation, legal research tools, or eDiscovery platforms
Basic understanding of APIs, integrations, or no-code/low-code tools
Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
Knowledge of data privacy, compliance, and security considerations in AI implementation
Prior experience in a consulting, operations, or innovation-focused role
System and Work Setup Requirements:
A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage
Headset/earphone with noise cancellation and webcam at 720p or higher resolution
A designated, quiet, and well-organized workspace free from distractions to facilitate focused work
United States