Technical coordinator: media

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming. The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus include video and streaming platforms, increasing subscriptions and memberships, growing our events business and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating to and consolidating across centralised technologies and capabilities that can be easily leveraged by any brand or product experience is a business priority. Leadership of the cross-functional Data Governance & Technical Analytics team is an integral part of our overall business strategy, helping us to generate value through the use of our first party data in line with regulatory compliance. The Technical Analytics & Measurement Manager will lead the implementation of privacy-compliant analytics tracking capabilities, standardising data collection and improving the quality of data. The key function of the role is to support the Global Architecture & Governance team in organisation-wide implementation of analytics and measurement strategies, encompassing privacy compliant analytics, technology and product support, consumer revenue initiatives, data capture configuration and audience engagement measurement. The role will require working with internal and cross-functional teams in EU, US and APAC, liaising with stakeholders to gather requirements, recommend analytics solutions and translate complex analytics into standard business language. Develop Technical Analytics & Measurement strategies, incorporating futureproof tracking and data capture, as well as privacy approaches Manage and implement performance and marketing analytics, including third-party tracking pixels, with or without a tag management system. Lead investigation and identification of gaps in analytics implementation, ensuring compliance with privacy laws and best practices. Own compliance-related concerns in data collection, collaborating with legal and privacy teams. Lead review and validation of accuracy and performance of technical analytics implementations. Develop and maintain technical tagging instructions, implementation documentation, and standards based on changing business needs. Partner with analytics, data engineering, product, and marketing teams to identify business needs and translate them into optimized tracking solutions. Ensure data governance across the analytics stack, maintaining integrity, lineage, and data quality. Provide support and guidance to analytics users on extracting and utilizing data from analytics tools and data warehouses. Lead automation projects to improve efficiency and reduce manual efforts using APIs. Skills and Experience: ~8+ years of experience working in technical analytics and measurement roles, especially advantageous if in media or advertising environment(s). ~ Strong experience in managing and developing teams of analysts and/or specialists in measurement and implementation for efficient deliveries. ~ Strong experience in implementing analytics tags using Google Tag Manager or similar tools (e.g., Proficient in managing configuration and profile settings within Google Analytics 4. ~ Hands-on experience with server-side tracking technologies e.g. server-side Google Tag Manager , Hightouch. ~ Experience with first-party data capture solutions such as Snowplow , Segment or Rudderstack highly preferred. ~ Knowledge of tracking pixels and consent management platforms such as One Trust, Source Point or Ethyca, with strong awareness of data privacy. ~ Basic understanding of Java Script/HTML with ability to update scripts for tracking changes and privacy compliance. ~ Experience in analytics data exports and integration with cloud platforms such as Google Cloud Platform (GCP), Big Query and AWS. ~ Hands-on experience with Databricks and querying. ~ Experience using SQL is desirable. ~ Experience with automation using APIs and Python desirable.