Senior Director, Enterprise AI

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

We are seeking a highly strategic and results-oriented leader to lead our AI team. Reporting directly to the Vice President of Enterprise Data, Analytics, and AI, this is a critical leadership role responsible for defining and executing a comprehensive Data Science and AI strategy that serves all our business functions.

The candidate will be a visionary leader with a proven track record of designing and deploying AI solutions at scale. This role is crucial for our organization's next phase of growth, as it will be responsible for building a common foundation for our Generative AI, Machine Learning, and Data Science initiatives to accelerate value delivery and prevent fragmented solutions.

Responsibilities

• Develop AI Strategy: Help define and articulate a comprehensive enterprise AI strategy that aligns with business objectives and provides a unified approach to AI development and deployment.
• Team Leadership: Lead, mentor, and grow a team of high-performing AI practitioners (data scientists, ML engineers, statisticians) responsible for building and deploying production-ready AI solutions.
• Demand Prioritization: Working in partnership with the Enterprise AI Core Team to establish and manage a clear, repeatable process for prioritizing AI use cases from across the company, ensuring projects with the highest business value and strategic impact are selected.
• Build a Common Foundation: Architect and oversee the development of a unified AI platform and toolkit to serve as the foundation for all AI solutions, ensuring consistency, scalability, and efficiency.
• Stakeholder Management: Work in partnership with the portfolio management team to align with leaders from every business function to understand their needs, manage expectations, and evangelize the value of AI.
• Governance and Ethics: Work in partnership with the AI Governance team to enforce strong governance frameworks, including ethical AI principles and responsible use guidelines.
• Technology and Innovation: Stay abreast of the latest trends in Generative AI, machine learning, and data science, and lead the charge in adopting innovative technologies that create a competitive advantage.
• Deployment to Production: Guide the team in the end-to-end lifecycle of AI projects, from ideation and development to successful deployment, monitoring, and maintenance in a production environment. To accomplish this, partnering closely with the data engineering team in ensuring access to relevant, high-quality data.
• AI Literacy & Change Management: Drive the necessary organizational change by developing and implementing company-wide AI training and education programs to foster AI literacy, build internal capability, enable personal productivity, and ensure responsible, informed adoption of AI tools across all business functions in driving organizational effectiveness and efficiency.

Qualifications

• Experience: 15+ years of experience in data science, machine learning, or a related field, with a proven track record of delivering impactful production systems with at least 10 years in a leadership role.
• Technical Skills & Platf