Staff Data and Applied Scientist
1 week ago
Data Governance and AI Visionary
NetApp is seeking a highly skilled Data Governance and AI Visionary to join the Data Services organization. The ideal candidate will be responsible for architecting machine learning systems, building data pipelines and ML models across data governance and compliance domains. This role will require a deep understanding of modern AI/ML systems and a proven track record of shipping impactful products into production.
Key Responsibilities
- Lead the design and implementation of ML systems for Data governance area with techniques such as classical Machine learning, Generative AI models and AI agents.
- Ensure scalability, reliability, and performance of AI models in production environments.
- Oversee ML design reviews, create best practices and playbooks for end-to-end ML systems in production.
- Collaborate with data engineers to develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, ML feature pipelines and deployment services.
- Work with a great deal of autonomy and be the technical thought leader in data governance product area. creating a forward-looking vision with clear direction.
- Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences.
- Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.
- Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data services and platform initiatives.
- Coaching and leadership for data scientists and the broader cross-functional team, helping influence and develop their skills and capabilities by fostering a culture of innovation and continuous learning.
- Have a strong customer focus and build AI/ML products that delight our customers.
- Represent NetApp as a leader and ambassador in the machine learning community, building relationships with external partners and promoting the company's product capabilities in industry/academic conferences
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