Head of Enterprise Data & Measurement Strategy
Listed on 2026-02-07
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IT/Tech
Data Analyst
Overview
VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!,
SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, Golf Now, Golf Pass, and Sports Engine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world.
- 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.
- Own the measurement architecture. Lead the definition, iterative development, and cross‑organizational adoption of a multi‑year enterprise tracking and measurement architecture, including phased roadmaps, investment cases, maturity milestones, and clear success metrics spanning Versant’s Sports & Entertainment brands.
- Standardize how data is captured. Design and evolve the unified event taxonomy and end‑to‑end data collection framework, grounded in business outcomes and supported by data‑layer contracts. Publish and maintain a living SDR as the single source of truth for technical & non‑technical users, including visualized data flows into the Versant Data Platform.
- Make data usable for the business. Ensure tracking specifications support viewer behavior analysis, audience segmentation, cross‑platform deduplication, content recommendations, ad measurement, and financial modeling, aligned with relevant industry standards where applicable.
- Define durable collection patterns. Select and standardize client-side, server-side, and SDK‑based collection approaches, ensuring alignment with analytics and CDP platform best practices and resilience to ecosystem and privacy changes.
- Establish data governance for collection and usage. Define and enforce standards for consent, data minimization, retention, access, lineage, KPI definitions, data dictionaries, and clear ownership models across business units.
- Operationalize privacy, compliance, and data quality. Embed GDPR, CCPA, and CPRA requirements in tagging, SDKs, and downstream activation workflows; establish change‑control and exception management processes for deviations from standards.
- Partner cross‑functionally to drive adoption. Collaborate with Product, Engineering, Marketing, and Ad Sales to align data collection strategies with business goals, experimentation needs, and currency and audience measurement requirements.
- Ensure consistent instrumentation and identity resolution. Drive standardized implementation across web, app, and CTV platforms via CDP and event streaming pipelines; ensure robust routing to analytics, activation, and warehouse/BI.
- Own the operating model and implementation requirements. Stand up and manage intake, write detailed developer-ready requirements, design reviews, implementation sprints, release and QA processes, and ongoing monitoring, holding teams accountable for quality SLAs and adoption targets.
- Communicate clearly at all levels. Translate complex technical and privacy considerations…
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