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Algolia is seeking a Senior GTM Data Operations Manager to join the Revenue Operations team. You will own the operational health, governance, and integrity of customer and prospect data across Algolia's go-to-market systems, ensuring Leads, Contacts, Accounts, and related GTM data are accurate, enriched, synchronized, and governed to enable effective execution across Marketing, Sales, Customer Success, and Analytics.
Key responsibilities include:
**Data Stewardship & Governance**: Act as the operational steward for customer and prospect data across the GTM ecosystem. Own operational governance for data across Salesforce, Marketo, Demandbase and related systems, including data quality standards, validation rules, field governance, and operational policies. Execute recurring hygiene programs including deduplication, standardization, enrichment validation, and lifecycle management. Partner with business stakeholders to evaluate requests for new fields and data standards while maintaining integrity and consistency.
**Data Enrichment & Identity Management**: Administer enrichment workflows across GTM platforms, monitor success rates, troubleshoot failures, maintain enrichment mappings and integrations, and partner with GTM Technology on vendor implementations.
**Data Operations**: Monitor critical integrations between Salesforce, Marketo, Demandbase and other GTM systems. Investigate synchronization failures and support implementation to minimize future issues. Ensure customer and prospect data flows reliably across systems and support operational readiness for new fields, objects, and integrations.
**Operational Excellence**: Support complex audience segmentation requests, provide operational data support for strategic GTM initiatives, ensure GTM data is structured to support scalable reporting and AI-powered workflows, document processes and governance standards, develop dashboards to monitor data quality health, identify automation opportunities, and support audit and compliance requests.
You will partner closely with GTM Systems, Marketing/Sales Operations, Analytics, Customer Success Operations, and Data/Systems Engineering to maintain reliable data foundations and continuously improve data quality across the revenue technology stack.
