Vice President of Data Architecture

Posted today

confidentialSan Jose (CA)

Data Warehousing SpecialistsComputer Systems Design Services

SENIORITY

Manager

About the role

Vice President of Data ArchitectureAbout the CompanyPopular provider of an automated data & documentation solutionIndustryInformation Technology and ServicesTypePrivately HeldFounded2006Employees1001-5000Funding$51-$75 millionCategoriesInformation Technology & ServicesSpecialtiesdocument generation & report-based documents for salesforceexcel document generation for salesforcedata management for salesforcepowerpoint presentation creation for salesforcecontract lifecycle managementhtml email creation for salesforcerevenue operationscommercial operationsesignatureprocess automationrevenue lifecycle managementcpqand document generationdocument generationclmlegopssalesfinancerevopsconfigure price quotelegalaibusiness transformationprocurementand revenueBusiness ClassificationsSAASB2BEnterpriseAbout the RoleThe Company is seeking a Vice President of Data Architecture to spearhead the definition and leadership of the enterprise data strategy. The successful candidate will be responsible for creating a unified, governed, and scalable data ecosystem across all platforms, with a focus on driving product experiences, analytics, and AI innovation. This role demands a leader with a proven track record in data architecture, data engineering, or related disciplines, and a deep understanding of modern data technologies. The VP will be instrumental in leading the transformation towards a cohesive data architecture, establishing standards for data modeling, integration, and consumption, and ensuring the data foundation is reliable and future-ready. Key responsibilities for the VP of Data Architecture include defining the enterprise data architecture vision, roadmap, and governance model, as well as leading data integration and platform modernization efforts. The role also involves partnering with engineering and product teams to design a unified data layer, establishing data governance frameworks, and enabling AI and analytics initiatives. The ideal candidate will have at least 12 years of experience in the field, with a strong background in Salesforce data models, enterprise-scale integration patterns, and modern data technologies such as Snowflake, Databricks, BigQuery, and Redshift. Experience in CLM, CPQ, or revenue operations platforms, and exposure to advanced AI architectures, is a plus. The company values curiosity, continuous learning, radical ownership, transparency, and a bias for action, and is dedicated to building a diverse and inclusive workplace.Hiring Manager TitleChief Technology OfficerFunctionsData Management/Analytics

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