Vice President of Data Architecture
Confidential
Vice President of Data Architecture
About the Company
Popular provider of an automated data & documentation solution
Industry
Information Technology and Services
Type
Privately Held
Founded
2006
Employees
1001-5000
Funding
$51-$75 million
Categories
- Information Technology & Services
Specialties
- document generation & report-based documents for salesforce
- excel document generation for salesforce
- data management for salesforce
- powerpoint presentation creation for salesforce
- contract lifecycle management
- html email creation for salesforce
- revenue operations
- commercial operations
- esignature
- process automation
- revenue lifecycle management
- cpq
- and document generation
- document generation
- clm
- legops
- sales
- finance
- revops
- configure price quote
- legal
- ai
- business transformation
- procurement
- and revenue
Business Classifications
- SAAS
- B2B
- Enterprise
About the Role
The 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 Title
Chief Technology Officer
Functions
- Data Management/Analytics
Vacancy posted 2 days ago
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