Director, Data Strategy & Services

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

• Own the roadmap for CDP, identity resolution, and data enrichment—prioritizing what marketing operations and revenue teams need to execute at scale.
• Lead identity graph expansion with hands-on input into matching logic, deterministic/probabilistic models, and cross-channel stitching that powers real-time personalization.
• Drive data quality as a competitive advantage—define and enforce SLOs (identity match rate, freshness, completeness) that directly impact campaign performance and attribution accuracy.
• Enable AI/ML at scale—ensure your data pipelines and feature engineering support predictive scoring, journey propensity, and churn models that drive GTM decisions.
• Govern without gating—architect privacy and compliance frameworks (GDPR, CCPA, emerging US laws) that protect the business while enabling innovation and real-time activation.
• Set data integration standards that let IT, Data Engineering, and downstream teams move confidently—defining latency targets, SLAs, and integration patterns that scale.

• You've led data strategy, MarTech operations, or CDP implementation in a B2B SaaS environment and know what "good" looks like operationally.
• You've managed product roadmaps for data capabilities with multiple stakeholder groups pulling in different directions—and found elegant ways to prioritize.
• You're fluent in modern GTM stacks: CDP (Adobe, Salesforce, Treasure Data), CRM (Salesforce, Dynamics), MAP (Marketo, HubSpot), ABM (Demandbase), and analytics (CJA, Snowflake).
• You understand identity resolution challenges (deterministic matching, probabilistic modeling, cross-channel stitching) and can evaluate or guide technical solutions.
• You've shipped data governance frameworks that actually worked—balancing security/compliance with the speed marketing needs.
• You can translate "we need a unified identity graph" into concrete milestones, measurable outcomes, and quarterly execution plans.
• You're comfortable in the room with C-level GTM leaders, IT architects, and data engineers—and can speak credibly to all three.
• You've supported AI/ML use cases in GTM (churn models, propensity scoring, audience segmentation).
• Highly Preferred: experience with Adobe suite, Kafka or Snowflake.

• Work Persona: Remote.
• Base pay of $173,300 - $238,300, plus equity (when applicable), variable/incentive compensation and benefits.