VP, Data Intake Operations

Auction.com•Irvine, CA

7d•$240,000 - $260,000

About The Position

The VP of Data Intake Operations provides end-to-end leadership and accountability for all data intake, data management, data quality, and data sourcing operations supporting Auction.com listings through auction readiness. This role ensures that teams executing Auction Readiness I–III responsibilities are properly structured, enabled, governed, and scaled to meet business, compliance, and consumer-facing data requirements. The VP owns the operating model, quality standards, escalation framework, and technology strategy, including AI, that underpin accurate, complete, and timely data intake, validation, enrichment, and platform accuracy across Auction Readiness-level work. As the platform grows, this role will evolve into a broader enterprise data enablement and merchandising function, expanding its scope from operational data intake oversight to enterprise-wide data capability, content accuracy, merchandising readiness, and scalable platform enablement. The role will also be responsible for identifying, evaluating, and operationalizing sources for data critical to the business, including photos, property DNA, pricing, and auction day information.

Requirements

End-to-end leadership and accountability for all data intake, data management, data quality, and data sourcing operations
Experience ensuring teams are properly structured, enabled, governed, and scaled to meet business, compliance, and consumer-facing data requirements
Ownership of operating model, quality standards, escalation framework, and technology strategy, including AI
Experience with accurate, complete, and timely data intake, validation, enrichment, and platform accuracy
Experience evolving from operational data intake oversight to enterprise-wide data capability, content accuracy, merchandising readiness, and scalable platform enablement
Experience identifying, evaluating, and operationalizing sources for data critical to the business
Experience ensuring compliance with state statutes, investor guidelines, client requirements, and internal data governance standards
Experience establishing quality thresholds, audit standards, and performance expectations
Experience acting as a senior escalation point for systemic data issues, complex exceptions, recurring defects, and platform accuracy risks
Experience leading and developing Managers and team members responsible for frontline execution
Experience ensuring roles are properly trained, supported, and aligned to standardized intake, data management, and data quality workflows
Experience defining clear ownership models for intake, validation, reporting, escalation, exception handling, and data stewardship
Experience partnering with HR and leadership to build sustainable career paths and role clarity
Experience designing and governing scalable data intake and data management processes
Experience ensuring SOPs, documentation, data standards, and training materials remain current
Experience identifying workflow gaps, handoff risks, data integrity issues, and inefficiencies
Experience standardizing escalation paths
Experience partnering with Technology and Salesforce teams to improve system-to-system data flow, data intake controls, monitoring, and reporting
Experience overseeing implementation of AI-enabled and automated solutions
Experience ensuring reporting, dashboards, data validation tools, and exception monitoring meet operational and client needs
Experience evaluating vendor and outsourcing solutions
Experience partnering closely with Seller-Facing, Technology, Salesforce, and Operations teams
Experience supporting organizational consolidation and operating model changes
Experience providing leadership visibility into risks, trends, and performance metrics

Nice To Haves

Experience with AI-enabled and automated solutions that reduce manual effort and improve data accuracy

Responsibilities

Own the full lifecycle of data intake, data ingestion, validation, enrichment, quality control, and auction readiness across all Auction Readiness levels
Ensure compliance with state statutes, investor guidelines, client requirements, and internal data governance standards as executed by Auction Readiness I–III roles
Establish quality thresholds, audit standards, and performance expectations to ensure accuracy across Salesforce and Auction.com platforms
Act as the senior escalation point for systemic data issues, complex exceptions, recurring defects, and platform accuracy risks identified by the team
Lead and develop Managers and Auction Readiness team members responsible for frontline execution
Ensure Auction Readiness I–III roles are properly trained, supported, and aligned to standardized intake, data management, and data quality workflows
Define clear ownership models for intake, validation, reporting, escalation, exception handling, and data stewardship
Partner with HR and leadership to build sustainable career paths and role clarity within the team
Design and govern scalable data intake and data management processes that support a high-volume, rapidly changing data landscape
Ensure SOPs, documentation, data standards, and training materials remain current as processes evolve
Identify workflow gaps, handoff risks, data integrity issues, and inefficiencies impacting Auction Readiness execution
Standardize escalation paths so complex data exceptions are resolved quickly without disrupting production
Partner with Technology and Salesforce teams to improve system-to-system data flow, data intake controls, monitoring, and reporting
Oversee implementation of AI-enabled and automated solutions that reduce manual effort and improve data accuracy at the Auction Readiness level
Ensure reporting, dashboards, data validation tools, and exception monitoring meet operational and client needs
Evaluate vendor and outsourcing solutions where appropriate to support scale, data quality, and operational resiliency
Partner closely with Seller-Facing, Technology, Salesforce, and Operations teams to improve intake quality, data flow, and platform accuracy
Support organizational consolidation and operating model changes that strengthen data ownership and operational accountability
Identify and develop trusted internal and external sources for business-critical data, including photos, property DNA, pricing, and auction day information
Provide leadership visibility into risks, trends, and performance metrics impacting intake, data management, and data quality