Senior Vice President of Data Engineering, Data Science & Analytics Greater San Francisco, CA Area

The Company is seeking a Senior Vice President to lead its global data engineering, data science, and analytics organization. The role will set the enterprise data and AI strategy and oversee the platforms, pipelines, models, analytics, and governance that support business decision-making. Responsibilities include scaling data infrastructure, developing machine learning capabilities, building business intelligence and experimentation functions, and ensuring data quality, security, privacy, and responsible AI practices. The leader will grow a multidisciplinary global team, partner with executive and business leaders, manage budgets and vendors, and communicate strategy and measurable impact to senior stakeholders. Candidates should have 15 or more years of experience in high-growth technology, including at least eight years leading data organizations at scale. They should bring experience building high-volume data platforms and production machine learning systems, along with strong expertise in modern data architecture, cloud platforms, streaming, orchestration, analytics, and MLOps. The role also requires a record of delivering data and AI strategies, improving operational reliability, and establishing effective governance and compliance practices. Strong executive communication, cross-functional partnership, vendor management, and global team leadership skills are essential.

Hiring Company

AXS