Role Description Provides enterprise leadership for Zimmer Biomet’s internal AI platforms, AI governance programs, and external AI partnership ecosystems. Builds scalable, secure, and compliant AI capabilities that enable innovation while protecting the company, patients, and customers. Establishes the enterprise AI operating model—ensuring AI platforms, policies, and partnerships work together to deliver responsible, high-impact outcomes across the organization. How You'll Create Impact - Owns the strategy, roadmap, and operation of Zimmer Biomet’s internal AI platforms. - Ensures platforms support AI assistants, agents, analytics, and future AI capabilities at enterprise scale. - Defines and enforces architectural standards for reliability, security, and reuse. - Partners with Data, Product, and Engineering teams to align AI platforms with enterprise and product data strategies. - Leads the enterprise AI governance program, ensuring responsible, ethical, and compliant use of AI. - Establishes and maintains policies, standards, and controls covering model risk, data usage, security, explainability, and auditability. - Embeds responsible AI practices across the AI lifecycle—from design through deployment and monitoring. - Partners with QA/RA, Legal, Privacy, Security, and Risk to ensure regulatory readiness and enterprise trust. - Manages Zimmer Biomet’s AI partnership strategy, including hyperscale's, platform providers, start-ups, and research partners. - Evaluates build vs. buy vs. partner decisions for AI capabilities. - Governs vendor performance, security posture, and strategic alignment. - Ensures partnerships accelerate innovation while maintaining enterprise standards and IP protection. - Serves as a trusted advisor to executive and functional leaders on AI strategy and adoption. - Translates business priorities into scalable AI capabilities and investment decisions. - Establishes enablement models that support business-led innovation without fragmenting platforms or governance. Qualifications - Experience in MedTech, healthcare, or similarly regulated industries. - Familiarity with AI standards and frameworks (e.g., ISO/IEC, FDA guidance, model risk frameworks). - Experience supporting enterprise AI agents, co-pilots, or large-scale internal AI deployments. - Proven experience owning enterprise platforms and operating models. - Deep understanding of AI governance, risk management, and responsible AI practices. - Experience working with and managing complex vendor and partner ecosystems. - Strong ability to communicate technical and risk topics to executive audiences. Requirements - Preferred Qualification: 4+ years of experience in AI, data, platform engineering, or advanced analytics, with 2+ years in leadership roles. - Minimum Qualification: Bachelor's Degree and 6 years of relevant experience, or Associate's Degree and 8 years of relevant experience, or High School Diploma or Equivalent and 10 years of relevant experience. Travel Expectations - Up to 15%. Expected Compensation - $180,000-$225,000 base salary. Comprehensive bonus also provided. EOE