Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse.
Establish identity resolution, deduplication, and source-of-truth logic across systems.
Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results.
Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation.
Implement governance, lineage, access control, and quality monitoring for GTM data assets.
Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers.
Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood).
Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability.
Design experimentation and measurement frameworks for GTM programs.
Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs).
Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals.