Position Summary

The Sr. Data Scientistwill lead the design, implementation, and governance of the organization’s data and AI platforms. This role will establish enterprise-wide standards for data enablement, ensuring that our AI-driven initiatives are built on reliable, scalable, and well-architected foundations. The position requires deep expertise in data science, data engineering, and solution architecture, with the ability to rapidly prototype solutions that bridge the gap between concept and production.

Primary ResponsibilitiesDefine and drive strategic architecture for AI and data platforms across the enterprise.Develop and implement data enablement frameworksthat ensure accessibility, quality, and governance.Establish and maintain engineering and architecture standardsfor data and AI systems.Collaborate with business and technical stakeholders to align data capabilities with AI-driven business goals.Provide architectural oversightfor AI agent design, deployment, and lifecycle management.Lead the creation of prototypesto validate architectural decisions and demonstrate value quickly.Mentor engineering teams in data architecture best practices, ensuring adherence to governance policies.Evaluate and recommend emerging technologiesrelevant to data management, AI, and analytics.