Who We Are
WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.
Overview
The Senior Analytics Implementation Specialist will provide advanced web and app analytics solutions and services to VML Data’s Tier one clients, enabling them to make informed, data-driven interactive strategy, product development, and personalization decisions.
The focus of this position is to leverage your advanced experience across both client-side and server-side analytics implementations, Customer Data Platforms (CDPs) like Rudderstack, and product analytics tools like Amplitude, alongside the Adobe Digital Experience Platform and Google Cloud Platforms. You will assist clients with the implementation, integration, and interpretation of their analytics solutions, ensuring robust data foundations that power AI/ML initiatives and advanced segmentation. This role demands high levels of interaction with clients, their technical teams, agencies, and partners.
This position is for self-motivated, entrepreneurial web and app analytics specialists with advanced knowledge of modern data stacks, privacy-centric tracking methodologies, and the ability to hit the ground running. The purpose of this role is to customize and provide solutions to clients’ exact business requirements and reporting needs, assist clients to implement proprietary and CDP-driven tracking code throughout their websites and mobile apps, and perform rigorous quality checks to ensure correct implementation and data integrity, in essence enabling them to answer complex business questions timely and accurately, and to fuel advanced AI/ML applications.
Responsibilities
Advanced Analytics Implementation & Architecture: Lead enterprise-level implementation of digital analytics and CDP tools, including gathering business requirements, designing robust event schemas, managing server-side tracking implementations (e.g., using Google Tag Manager Server-Side or Rudderstack Event Streams), integration with various data destinations, custom coding, and enabling advanced reporting. This includes architecting solutions that support both traditional web analytics and modern product analytics (e.g., Amplitude & Google Analytics).
Technical Expertise in Data Collection : Possess deep hands-on experience in website and mobile app tracking, including advanced tagging, event tracking, consent management platforms, and mapping complex customer journeys across touchpoints. Proficiency with Tag Management Systems (TMS), web technologies (HTML, CSS, JavaScript), mobile SDKs, and API integrations for server-side data collection is essential.
Data Foundation for AI/ML: Design and implement data collection architectures that provide high-quality, comprehensive, and real-time data suitable for feeding Machine Learning (ML) models, Generative AI (LLMs), and advanced segmentation. Ensure data governance and privacy best practices are embedded in every implementation.
Solution Architecture & CDP Integration: Design and implement holistic analytics and Customer Data Platform (CDP) solutions (Rudderstack focus, but aware of others like Segment) and system architecture that align with clients' enterprise-wide business needs and key performance indicators. This…