Legal Counsel, Artificial Intelligence and Data Innovation (Remote)

Stryker•Trenton, MI

1d•Remote

About The Position

We are seeking a forward-thinking and analytically strong Legal Counsel, Artificial Intelligence & Data Innovation to support the legal development of AI/ML tools, algorithm governance, and data-driven technologies. This role focuses on the responsible, ethical, and compliant use of AI in enterprise systems, digital health products, and real-world data initiatives. You will collaborate with Privacy, Data Governance, R&D, and Product teams to navigate cutting-edge regulatory and legal issues surrounding AI deployment.

Requirements

Juris Doctor (JD) with license to practice in at least one jurisdiction.
Minimum 10 years applicable professional experience in law firm or corporate legal department setting with demonstrated experience and a strong interest or focus in AI/ML, data science, or emerging technologies.
Knowledge of intellectual property, data protection, and regulatory frameworks relevant to AI innovation.
Excellent research, risk-spotting, and cross-functional communication skills.

Nice To Haves

Prior professional experience considered; medical device, pharmaceutical, life sciences experience strongly preferred.
Exposure to algorithmic governance, model validation, or ethics in tech is a plus.

Responsibilities

Advise on the legal, ethical, and IP implications of AI/ML model development and deployment.
Provide legal guidance on algorithmic transparency, explainability, model lifecycle management, and fairness audits.
Support legal reviews for vendor engagement, data training sets, and co-development of AI-powered tools.
Counsel on cross-border data flows, data labeling, retention, and re-use for AI applications.
Partner with Privacy and Digital Health to align AI projects with global data protection and regulatory requirements.
Monitor emerging AI legislation (e.g., EU AI Act, U.S. Executive Orders, industry guidelines) and translate developments into policy recommendations.
Provide legal counsel on the deployment of AI/ML technologies, including: Vendor engagement and IP ownership Fairness, transparency, and explainability standards Risk mitigation strategies for regulated medical and enterprise use
Advise on enterprise productivity platforms with a focus on licensing, interoperability, data handling, and user compliance.
Partner with other members of the legal team (commercial, regulatory, IP, data governance & privacy) to coordinate and align on all issues concerning AI, such as: AI model training using sensitive data Cross-border data flows and platform integrations Retention, access controls, and auditability in collaboration tools