Head of Enterprise Data

8+ years in modern data leadership across platforms, architecture, governance, or analytics engineering. Proven ability to deliver data strategies in fast-moving, high-growth environments. Expertise in cloud-native stacks like Snowflake, dbt, Fivetran, Airflow. Deep understanding of data governance, modelling, metadata, and domain-driven design. Experience enabling AI/ML teams with high-quality data and strong access patterns. Ability to influence senior stakeholders and lead global teams with clarity and pace.

Deliver clear, actionable data strategy supporting revenue growth, scalability, and automation. Establish standards for data design, management, and usage. Provide senior leadership on data-driven decision-making. Champion data stewardship and ownership. Own performance, reliability, and evolution of Snowflake-centric data platform. Ensure data ingestion, modelling, governance, and quality processes are simple, scalable, and fast. Set patterns for teams to ship data solutions quickly. Define and maintain enterprise data architecture. Partner with Engineering and Product to shape upstream data design. Ensure data models are reusable, trusted, and well-documented. Implement lightweight, scalable, and value-driven governance. Lift data quality and consistency across all regions and teams. Ensure compliance with security, privacy, and regulatory frameworks. Make data AI-ready through quality, accessibility, and sound design. Define how data powers agentic workflows, automation, and future ML capabilities. Oversee infrastructure and governance for responsible AI usage. Guide data requirements for training, inference, and orchestration. Build strong cross-functional partnerships. Translate data concepts into practical actions. Increase adoption and trust in data.