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What are the roles of a director artificial intelligence law?

A Director of Artificial Intelligence Law is a senior legal professional responsible for overseeing legal and regulatory matters related to artificial intelligence within an organization. Their duties often include ensuring compliance with AI-related laws and regulations, developing company policies around responsible AI use, advising on ethical considerations, managing risks, and working with technical and executive teams to guide AI strategy. This role typically requires a deep understanding of both technology and law, especially in areas like data privacy, intellectual property, and emerging AI governance frameworks.

What are the key skills and qualifications needed to thrive as a director artificial intelligence law?

To excel as a Director of Artificial Intelligence Law, a strong background in law with expertise in emerging technologies, AI ethics, and data protection is essential, often supported by a JD or equivalent and relevant legal experience. Familiarity with AI regulatory frameworks, compliance systems, contract management tools, and possibly certifications like CIPP/US are highly valuable. Exceptional analytical thinking, leadership, and communication skills help navigate complex legal landscapes and collaborate with both legal and technical teams. These competencies are critical to effectively guide organizations through evolving AI legal risks, regulatory requirements, and strategic decision-making.

What are some common challenges faced by a director artificial intelligence law when overseeing cross-functional teams?

A Director of Artificial Intelligence Law often encounters challenges when bridging the gap between legal, technical, and business teams. Ensuring clear communication and mutual understanding across these diverse groups is crucial, as legal requirements must be translated into actionable guidelines for AI developers and data scientists. Additionally, staying ahead of evolving regulations and ethical standards while balancing innovation and compliance poses ongoing difficulties. Successful directors foster collaboration, facilitate ongoing education, and implement robust governance structures to navigate these complexities.

What is the difference between Director Artificial Intelligence Law vs Legal Counsel for Artificial Intelligence?

AspectDirector Artificial Intelligence LawLegal Counsel for Artificial Intelligence
Required CredentialsLaw degree, specialized AI law certificationsLaw degree, AI law certifications often preferred
Work EnvironmentStrategic leadership, policy development, compliance oversightLegal advisory, contract review, legal risk assessment
Employer & Industry UsageTech companies, AI startups, legal firms specializing in AICorporate legal departments, AI firms, consulting agencies

The main difference is that the Director Artificial Intelligence Law focuses on leading AI legal strategies and policies, while Legal Counsel for Artificial Intelligence provides legal advice and handles compliance issues. Both roles require legal expertise and knowledge of AI, but the director position is more strategic and leadership-oriented, whereas legal counsel is more operational and advisory.

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Director Artificial Intelligence Law jobs near you
Infographic showing various Director Artificial Intelligence Law job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Director, Artificial Intelligence

Edmund Optics

Barrington, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Overview
Edmund Optics is seeking a Senior Director of Artificial Intelligence to lead the strategy, development, and deployment of AI initiatives across the organization. This role will define the enterprise AI roadmap, and build and mentor a high-performing team. This role will partner with the continuous improvement team to determine areas within the organization that can benefit the most from AI, as well as working with the analytics team on the development and rollout of AI-driven solutions for Edmund Optics. This role will partner with engineering, manufacturing, sales, and IT leadership to embed AI into core business processes. The ideal candidate combines deep technical expertise with strong business acumen and the ability to translate AI capabilities into measurable value for a global optics and photonics manufacturer.
Responsibilities
  • Strategy & Vision: Define and drive the company-wide AI strategy, identifying high-impact opportunities across manufacturing, HR, quality control, supply chain, R&D, sales, and customer service.
  • Leadership & Team Building: Recruit, develop, and lead a team of new to industry AI designers and project managers to implement major AI projects. Work with the analytics team to establish best practices for model development, deployment, and governance. Move towards a hub-and-spoke operating model, with a centralized team of specialists defining standards and practices while working closely with embedded teams across the business.
  • Cross-Functional Partnership: Collaborate with continuous improvement and with major functional areas such as optical engineering, manufacturing operations, IT, and commercial teams to identify use cases for advancement (e.g., computer vision for defect detection, predictive maintenance, generative AI for design/quoting tools, customer-facing chat/support tools).
  • Solution Delivery: Be accountable for the full lifecycle of AI projects - from proof of concept through production deployment and monitoring - ensuring scalability, reliability, and ROI.
  • Data Infrastructure: Partner with IT, analytics, and cybersecurity to ensure the organization has the data pipelines, infrastructure, and governance needed to support AI initiatives.
  • Innovation & Emerging Tech: Stay current on advances in AI (including large language models, computer vision, generative AI, agentic AI, and industrial AI applications) and assess applicability to optics manufacturing and photonics R&D.
  • Responsible AI & Governance: Establish policies for data privacy, model risk, security, and ethical use of AI across the enterprise.
  • Executive Communication: Report to senior leadership on AI initiative progress, business impact, budget, and risk; build the business case for continued AI investment.
  • Vendor & Partnership Management: Evaluate and manage relationships with AI technology vendors, cloud providers, and external research partners.

Qualifications
To perform this position successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable Accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Skills & Abilities
  • Proven track record of deploying AI and/or ML solutions at scale in a manufacturing, industrial, or engineering-driven environment.
  • Strong knowledge of machine learning, computer vision, agentic AI, and/or generative AI techniques and their practical business applications.
  • Strong change management skills, especially implementing AI solutions in major functional areas of a large organization.
  • Experience building and leading technical teams.
  • Excellent communication skills with the ability to translate technical concepts for non-technical executive stakeholders.
  • Experience managing budgets and demonstrating ROI on technology investments
  • Comply with federal, state, and company policies, procedures, and regulations
  • US Citizenship or permanent residence required

Education/Experience
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's or PhD preferred).
  • 5+ years of experience in AI, ML, data science, or related technical fields, with 5+ years in a leadership role adjacent to AI (computer science, engineering, data analytics or other related fields).

The following qualifications are preferred:
  • Experience in optics, photonics, precision manufacturing, or a related technical industry.
  • Experience with cloud AI or ML platforms, especially agentic AI tools.
  • Experience with AI data platforms, especially Snowflake.

Physical Requirements
Ability to operate office equipment such as a copier; ability to see details at a close range; ability to sit at desk or PC for long periods of time; work in office setting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Think you meet some of the requirements but not all? Studies have shown that women and people of color are less likely to apply to jobs for which they do not meet every qualification. If you see a role that interests you, we encourage you to apply, regardless of whether or not your experience is completely aligned with the job description. Edmund Optics is committed to becoming the most diverse, equitable, and inclusive workplace within the Optics and Photonics Industry and beyond. You may be a great candidate for this role or others within Edmund Optics.
Compensation Range Transparency:
At Edmund Optics, we are committed to transparency and equity in our hiring practices. The posted salary range for this role reflects the expected base pay. The actual offer will be based on multiple factors, including but not limited to relevant skills, education, work experience, business needs, and geographic location.
Salary Range:
$190,000 - $235,000 per year
Benefits:
  • Medical, Dental, and Vision Insurance
  • Life, AD&D, Short and Long-Term Disability Insurance
  • Generous Paid Time Off (PTO)
  • Tuition Reimbursement
  • 401(k) Retirement Plan with Company Match up to 3%
  • Daycare and Gym Reimbursement
  • Paid Parental Leave and New Mother Benefits
  • Training and Development Opportunities

Availability of these benefits may depend on the country and employment type.
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