Data Scientist

• Lead enterprise data architecture and platforms — design and scale a modern, cloud-based data stack leveraging Snowflake, Atlan, and complementary technologies (e.g., dbt, Fivetran, Airflow).
• Establish data observability and quality frameworks — ensure data lineage, reliability, and real-time insights across all systems.
• Drive AI-first data strategy — enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines.
• Partner with business and technology teams — turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes.
• Governance and compliance — define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations.
• Build and lead a high-performance global data team — recruit, mentor, and inspire data engineers, architects, and AI specialists.
• Accelerate insight to impact — democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.

Head of Data, AI

Senior Data Scientist

Principal Data Scientist

Principal Data Scientist

Group AI Research Product Manager, Data Science

Data Scientist 5