Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of technical, customer-facing experience in the enterprise space, with a focus on data platforms, data warehousing, or analytics.
8 years of experience leading and managing a technical, customer-facing team.
Preferred qualifications:
Experience in architecting and leading the delivery of data transformation projects for enterprise customers.
Experience in developing and growing C-level relationships, acting as a trusted technical advisor, delivering technical pitches to the C-level and Board.
Understanding of the modern Data and Artificial Intelligence (AI) landscape, including Data Governance, Lakehouse and Data Mesh architectures, real-time streaming analytics, and the application of Generative AI, Vector Databases, and Data Agents to solve enterprise data tests.
Ability to lead through influence; collaborating effectively across organizational boundaries to build relationships and consensus across geographically and culturally various teams.