Legal Counsel, Artificial Intelligence and Data Innovation (Remote)

Work Flexibility: Remote

Position Summary

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.

Key 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

Qualifications

• 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.  Prior professional experience considered; medical device, pharmaceutical, life sciences experience strongly preferred.

• Knowledge of intellectual property, data protection, and regulatory frameworks relevant to AI innovation.

• Exposure to algorithmic governance, model validation, or ethics in tech is a plus.

• Excellent research, risk-spotting, and cross-functional communication skills.

Compensation

• $179,100 - $388,100 salary plus bonus eligible + generally eligible for short-term and long-term financial incentives + benefits.  Individual pay is based on skills, experience, and other relevant factors.

Travel Percentage: 20%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.