Responsibilities

• Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform 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, platforms, 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 quality, coverage, targeting accuracy, deliverability, conversion, and incremental value. Establish permissions, suppression, auditability, and provider-performance standards.

Requirements

• Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology.
• Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes.
• Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery.
• Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements.
• Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows.
• Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is not required.
• Evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign-execution systems.
• Lead a small team and build alignment with senior cross-functional partners.
• Apply sound judgment to privacy, consent, deliverability, data rights, governance, and customer trust.
• Bring relevant experience in advertising, SMB or self-serve businesses, product-led SaaS, marketplaces, commerce, fintech, enterprise go-to-market, or other multi-segment customer journeys.

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 vendors, CRM, marketing automation, and customer data platforms.
• 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.