AI Governance Specialist (US, Field)
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Requirements
- Exposure to AI/ML lifecycle governance (model intake, validation, monitoring)
- Experience in audit, controls testing, or risk frameworks
- Basic technical understanding of AI/ML concepts (not hands-on development)
- Travel Requirements: Up to 10-15%
- You Unlimited.
- We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.
- Inclusion and Belonging- Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website (https://www.smith-nephew.com/).
- Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Options, Tuition Reimbursement
- Work/Life Balance: Flexible Personal/Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day
- Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program
- Training: Hands-On, Team-Customized, Mentorship
- Extra Perks: Discounts on fitness clubs, travel and more!
- #LI-HYBRID
- #LI-MA1
- Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
- Stay connected by joining our Talent Community .
- We're more than just a company - we're a community! Follow us on L inkedIn to see how we support and empower our employees and patients every day.
- Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You . Unlimited . , life, culture, and benefits at S+N.
- Explore our website and learn more about our mission, our team, and the opportunities we offer.
Benefits
Additional Information
Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living. Job Summary This role supports the design, implementation, and operation of the enterprise AI Governance framework to ensure AI solutions are ethical, compliant, transparent, and risk-managed across their lifecycle. The AI Governance Specialist partners with IT, Legal, Compliance, Privacy, Security, and business teams to operationalize Responsible AI principles, manage AI risk processes, and support governance reviews. What will you be doing? Support operation of enterprise AI governance frameworks and Responsible AI principles. Maintain AI use case inventory and lifecycle documentation. Execute AI risk intake and tiering processes. Support governance reviews for medium and high-risk AI use cases. Assist with pre-deployment testing and post-deployment monitoring. Maintain AI risk registers, controls matrices, and reporting Partner cross-functionally to embed AI governance into enterprise processes. Support Responsible AI training and communications. **This position is not offering any type of visa transfer or sponsorship now or in the future** What will you need to be successful? Education: Bachelor's degree in Computer Science, Information Systems, Risk Management, Cybersecurity, Data Science, Healthcare, or a related field. Master's is a plus. Experience: Minimum of 3 years of experience in AI governance , data governance, IT risk, compliance, cybersecurity, or regulated environments (e.g., healthcare, finance, or technology). Demonstrated experience in: Supporting or executing risk assessments, controls, or governance frameworks Working within regulated or compliance-driven environments Collaborating with cross-functional teams (Legal, Privacy, Security, Engineering) Competencies: Strong understanding of AI governance concepts and risk domains (bias, fairness, explainability, privacy, security) Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF , Responsible AI principles) Knowledge of data privacy and regulatory requirements (e.g., CCPA, GDPR, emerging AI regulations) Ability to translate policy and regulatory requirements into operational processes Strong analytical and problem-solving skills Effective stakeholder management and cross-functional collaboration
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