Description & Requirements
Essential Duties and Responsibilities:
- Distill complex, fast-evolving technology, cybersecurity, data-privacy, AI/ML, and IP laws and regulations worldwide into clear, actionable guidance for business leaders and product teams.
- Serve as a cross-functional leader defining technology & AI governance principles and implementing scalable processes for data governance, cybersecurity controls, privacy, consumer protection, trust & safety, and IP management.
- Identify and communicate legal, regulatory, and reputational risks for existing and planned technology initiatives—including AI/ML development, cloud deployments, SaaS integrations, and cybersecurity programs—and craft pragmatic mitigation strategies.
- Drive enterprise guidelines, training, and document controls to ensure all technology solutions (AI/ML, software, networks, data analytics, and IoT) meet company and legal/industry standards.
- Monitor and communicate global legislative trends and best practices in technology, cybersecurity, data-privacy, and AI/ML governance to keep products and services compliant as laws evolve. (20%)
- Provide timely advice on legal, regulatory, and governance questions for software, cloud, cybersecurity, and AI/ML solutions. Review technology contracts, subcontracts, and licenses to flag privacy, IP, cybersecurity, and compliance obligations and negotiate risk-appropriate terms.
- Deliver engaging trainings on emerging technology-law topics—AI/ML policy, cybersecurity regulations, privacy by design, IP strategy, and contract risk—to executives, engineers, and business stakeholders.
- Partner with outside counsel, cybersecurity experts, IP counsel, and academic thought leaders to refine governance frameworks and proactively address multi-disciplinary technology risks.
- Respond to inquiries on legal, regulatory, and governance matters related to development and use of AI/ML systems, or other similar technologies.
- Assist teams on FAR/DFARS flow downs, FedRAMP ATO pathways, FISMA baselines, state cooperative contracts, and cybersecurity supply chain (C SCRM) obligations.
- Use large language model platforms (e.g. Harvey, CoCounsel, MS Copilot or GPT Enterprise) for clause comparison and redlining.
- Juris Doctor (JD) from an accredited law school and admission to one or more State Bars is required.
- 8+ of technology-focused legal practice (in-house or law-firm) with demonstrable experience across cybersecurity, data-privacy, IP/technology transactions, and AI/ML governance.