VP of Data Architecture

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A career that's the whole package! At Conga, we've built a community where our colleagues can thrive. Here you'll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard. Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line. VP, Data Architecture Location: Remote (US) with periodic travel to engineering hubs Reports to: Chief Technology Officer A quick snapshot... As the Vice President of Data Architecture at Conga , you will define and lead the enterprise data strategy that underpins a unified, governed, and scalable data ecosystem across all Conga platforms. This spans the Salesforce-native product portfolio, the Advantage platform (cloud-native SaaS), and the integrated PROS pricing platform. Operating as a key member of the technology leadership team, you will partner closely with the VP of Platform Engineering and other senior leaders to establish how data is architected, governed, and leveraged across the organization. You will drive the long-term vision for how data is modeled, integrated, and consumed to power product experiences, analytics, and AI innovation at scale. This is not an execution-only role-this is end-to-end ownership of Conga's enterprise data architecture strategy , ensuring the business has a consistent, reliable, and future-ready data foundation. Why it's a big deal... Conga operates across multiple product surfaces with divergent data models and architectures, creating fragmentation that impacts customer experience, data reliability, and the effectiveness of AI-driven capabilities. As VP of Data Architecture, you will lead the transformation toward a unified and scalable data ecosystem , enabling consistent customer experiences, seamless integrations, and trusted, AI-ready data. Your leadership will directly influence product innovation, platform scalability, and Conga's ability to operate as a truly integrated SaaS business. What you'll lead... Enterprise Data Strategy & Architecture Define and own the enterprise data architecture vision, roadmap, and governance model across all platforms. Establish canonical data models and a single source of truth strategy across product surfaces. Drive architectural standards for how data is modeled, stored, integrated, and exposed. Lead decisions on data platform strategy (warehouse, lakehouse, hybrid) aligned with long-term business needs. Data Integration & Platform Modernization Define scalable patterns for data ingestion, transformation, and synchronization across Salesforce, microservices, APIs, and third-party systems. Establish enterprise-wide strategies for event-driven and batch data integration , including latency and performance standards. Lead efforts to modernize legacy data architectures and reduce technical debt across the ecosystem. Data Consumption & Product Enablement Partner with Engineering and Product to design a unified, UI-facing data layer supporting product experiences and external integrations. Define standards for APIs (REST/GraphQL), data contracts, and abstraction layers that enable decoupled, scalable development. Drive strategies for performance optimization , including caching, pre-aggregation, and materialization. Governance, Trust & Compliance Establish and enforce enterprise data governance frameworks aligned to SOC 2 and regulatory requirements . Define standards for data quality, lineage, auditability, access controls, retention, and deletion. Ensure consistent data stewardship, ownership, and accountability across domains. AI & Analytics Enablement Enable enterprise AI initiatives by defining reliable, high-quality, and well-governed data foundations . Oversee architecture for feature stores, observability frameworks, and advanced data pipelines. Partner with AI/ML teams to ensure scalable and production-ready data capabilities. Leadership & Organizational Impact Build, lead, and mentor a high-performing data architecture and engineering function . Influence senior stakeholders across Engineering, Product, and GTM to drive alignment on data strategy. Establish architectural governance processes, including decision frameworks and ADRs , across the organization. Act as a trusted advisor to executive leadership on data strategy, risk, and investment decisions. Are you the person we're looking for? A proven track record... 12+ years of experience in data architecture, data engineering, or related disciplines, including senior le

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