Director, Digital Measurement & Strategy

VersantNew York, NY
1d$135,000 - $180,000

About The Position

Own Versant’s enterprise-wide strategy for how user, content, and advertising data is captured, governed, and activated across our Entertainment & Sports brands. Define and author enterprise standards, including event taxonomy and identity models, and embed privacy‑by‑design and industry measurement standards directly into the product control plane. Partner closely with product, engineering, analytics, and business stakeholders to drive alignment and adoption. Ensure data signals are consistent, privacy‑safe, and interoperable across analytics and CDP pipelines, powering deduplicated, cross‑platform audience insights and monetization.

Requirements

  • 10+ years defining and delivering enterprise data strategies for digital product organizations, including media organizations, including 5+ years leading data collection and measurement programs across multiple business units.
  • Proven track record authoring, operationalizing, and enforcing global tracking specifications and event taxonomies across web, app, and CTV platforms, including ownership of a living SDR used as the system of record by engineering and analytics teams.
  • Deep, hands‑on experience with Adobe Analytics, Google Analytics, Amplitude, Mixpanel, and CDP/event streaming platforms supporting content and product analytics.
  • Demonstrated ability to design and reconcile clickstream and streaming telemetry, including identity, behavior, and video analytics, into normalized, privacy‑safe datasets that support analytics, activation, and enterprise BI.
  • Deep knowledge of media consumption and audience measurement across digital and linear environments, including implications for deduplicated reach, cross-platform attribution, and monetization.
  • Exceptional executive communication and change leadership skills, with a proven ability to influence stakeholders, navigate competing priorities, and drive adoption of enterprise standards across diverse product, engineering, analytics, and commercial teams.

Responsibilities

  • Own the measurement architecture.
  • Standardize how data is captured.
  • Make data usable for the business.
  • Define durable collection patterns.
  • Establish data governance for collection and usage.
  • Operationalize privacy, compliance, and data quality.
  • Partner cross-functionally to drive adoption.
  • Ensure consistent instrumentation and identity resolution.
  • Own the operating model and implementation requirements.
  • Communicate clearly at all levels.
  • Measure and improve data quality at scale.
  • Lead and develop the implementation function.
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