Director, Data Strategy and Services

The Director, Data Strategy & Services is the enterprise product owner for GTM data capabilities across Marketing. This role leads the roadmap for the Customer Data Platform (CDP), identity graph, data enrichment, and the governed, real-time data layer that powers the company’s revenue engine.Operating within the Martech Center of Excellence, this leader partners closely with IT, Security, and GTM stakeholders to architect the enterprise’s customer data spine—ensuring that data is accurate, complete, compliant, and accessible for predictive AI models, personalization, attribution, and GTM decision-making.This is a highly strategic, high-visibility role responsible for transforming first-party data into a durable competitive advantage.Key Responsibilities· Own and evolve the multi-year roadmap for the CDP, identity resolution, data unification, and metadata layer.· Serve as product owner for data capabilities within the Martech CoE, IT, and GTM stakeholders.· Drive expansion of the enterprise identity graph, including matching logic, deterministic/probabilistic models, and cross-channel stitching.· Ensure data cleanliness, enrichment, standardization, and consent integrity across all GTM systems (CDP, CRM, MAP, ABM, AdTech).· Define and manage data quality SLOs (freshness, identity match rate, completeness, lineage).· Enforce governance frameworks for data access, role-based permissions, retention, and compliance with privacy requirements (GDPR, CCPA, emerging US laws).· Define data flows, integration patterns, and non-functional requirements (latency, reliability, SLAs) for GTM data across MAP ↔ CDP ↔ CRM ↔ downstream analytics.· Partner with IT Architecture and Data Engineering to design and execute scalable pipelines, APIs, and streaming ingestion workflows.· Oversee technical documentation and data lineage maps that ensure clear visibility and lifecycle understanding of all GTM data assets.· Translate complex data concepts into business-friendly frameworks that support GTM activation, personalization, scoring, reporting, and AI use cases.· Partner with the AI & Automation Operations team to ensure model readiness, data availability, and feature engineering pipelines.