Vice President of Data Architecture

Role Description

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.
• Drive the long-term vision for how data is modeled, integrated, and consumed.
• Ensure end-to-end ownership of Conga’s enterprise data architecture strategy.

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.

Qualifications

• 12+ years of experience in data architecture, data engineering, or related disciplines, including senior leadership roles.
• Demonstrated success defining and scaling enterprise data strategies for SaaS platforms, including multi-tenant architectures.
• Experience leading large-scale data transformations spanning legacy and modern cloud ecosystems.
• Deep expertise in Salesforce data models and enterprise-scale integration patterns.
• Proven ability to design systems supporting both real-time product experiences and analytics/AI workloads.
• Strong knowledge of modern data technologies (e.g., Snowflake, Databricks, BigQuery, Redshift).
• Experience with event streaming, CDC, ETL/ELT, and API-driven architectures.
• Familiarity with governance, lineage, and cataloging tools (e.g., Collibra, Alation).
• Working knowledge of AI/ML data infrastructure, including feature stores and vector-based systems.

Key Competencies

• Executive-Level Architectural Leadership: Set direction and make high-impact decisions that shape the company’s data strategy for the long term.
• Strategic Communicator: Translate complex technical concepts into clear business outcomes for executive stakeholders.
• Cross-Functional Influence: Drive alignment across engineering, product, and business teams in highly matrixed environments.
• Operational Excellence & Scale: Build systems, practices, and teams that scale with the business while maintaining consistency and quality.

Benefits

• Competitive compensation and benefits packages.
• Flexible work options.
• Medical and dental insurance.

Company Description

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.