Responsibilities

• Own the marketing data model across the marketing automation platform and Sales CRM
• Manage the person-to-account architecture: deduplication, hierarchy handling, and buying-group logic
• Support the enrichment and data-quality layer with AI-driven waterfalls, automated validation, and monitoring
• Manage the governance model: naming conventions, field ownership, change control, and privacy/GDPR
• Define source, sourcing, and influence rules that Marketing, Sales, and Finance all sign off on, and enforce them in the system
• Operationalize events, webinars, field programs, and partner motions end to end capture, enrichment, QA, upload, follow-up, and attribution leveraging AI
• Instrument the website and digital properties for conversion tracking, UTM discipline, and form/progressive-profiling strategy
• Build campaign performance reporting Use AI to score, qualify, research, and enrich inbound before a human ever touches it.
• Support SLA tracking, working-status enforcement, recycle and re-entry logic, and alerting for every break in the chain
• Instrument lifecycle stages and track conversion rates and cycle times

Requirements

• 5–8 years in Marketing Operations, GTM Engineering, or Revenue Operations
• Deep, hands-on HubSpot expertise
• A real philosophy on AI-native operations. Data modeling fluency. Ability to build multi-touch attribution with cross-functional credibility.