Responsibilities

• Lead the function’s strategy investments to measurable advertiser and business outcomes.
• Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent.
• Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement.
• Design enrichment and verification workflows. Evaluate in-house capabilities, vendors, APIs, AI, and human review to select effective solutions.
• Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential.
• Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation.
• Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals.
• Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions.
• Measure data qualityance standards.

Requirements

• Lead the function’s strategy investments to measurable advertiser and business outcomes.
• Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent.
• Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement.
• Design enrichment and verification workflows. Evaluate in-house capabilities, vendors, APIs, AI, and human review to select effective solutions.
• Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential.
• Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation.
• Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals.
• Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions.
• Measure data qualityance standards.
• Bring substantial experience building go-to-market systems, lifecycle infrastructure, revenue systems, or marketing technology.

Preferred

• Experience building prospecting or customer intelligence platforms for advertising, SMB, or self-serve businesses.
• Track record combining customer and intent data to improve targeting and conversion.
• Experience deploying enrichment, scoring, and next-best-action models across marketing and sales.
• Experience integrating data vendorss.
• Hands-on experience using SQL, APIs, automation, or AI to validate growth solutions.
• Experience building feedback loops and governance practices that improve performance, data quality, and trust.