Required Education:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required.

MBA or advanced degree preferred

Preferred Certifications:

• PMI or PMP certification preferredRequired Skills & Qualifications

Experience:

Minimum of 5 years of experience in Technical Program Management and compliance reviews at a technology company with focus on AI

Communication & Influence:

Exceptional verbal and written communication skills with proven ability to manage stakeholders, persuade, and build consensus

Execution & Autonomy:

Strong ability to work independently, manage time effectively, solve complex problems, and thrive in ambiguous environments

Technical & Data Tools:

Proficiency in Google Apps, Microsoft Office, web browsers, and AI productivity tools and with advanced skills in Google Sheets/Excel for data annotation and analysisPreferred Experience

• Background in Privacy and Compliance Reviews, (Generative) AI, Data Analytics, Data Annotations, or Risk Management
• Hands-on experience running ad-hoc queries, analyzing data, and using AI agents and research tools
• Data collection annotation experience is preferred

Overview:

Oversee business-critical projects in the AI Research space, focusing on facilitating review and approval processes to initiate and ship projects. Requires operational excellence, stakeholder management, and the ability to navigate ambiguity across multiple concurrent initiatives.

Key Responsibilities

Project Ownership & Delivery:

Lead multiple project compliance reviews for frontier research, draft requirements, monitor daily progress, manage action items, and proactively resolve blockers to keep milestones on schedule

Process & Review Optimization:

Collaborate with requesters, engineering, research team and reviewers to clarify requirements, streamline approval stages, and coordinate with privacy stakeholders to document best practices

Stakeholder Communication:

Maintain regular updates and transparency across teams; deliver weekly reports detailing project status, achievements, risks, and review process insights

Risk & Mitigation Management:

Identify, mitigate, and escalate project risks early, particularly those impacting review timelines and key dependencies

Asset Cataloging & Analysis:

Research, Catalog, and annotate AI Research assets with high attention to detail.

• Utilize Google Sheets/Excel for data exploration and workflow optimization

Domain Awareness:

Stay current on developments in the AI research landscape and tooling to continuously improve project outcomes

• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.

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