Lead Measurement Analytics

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Lead complex, high-impact measurement strategy, tagging, instrumentation, and implementation initiatives across clients, business areas, and strategic programs • Define measurement strategies connecting business objectives, reporting requirements, experimentation needs, consent requirements, customer event flows, and downstream data usage • Advise internal and client stakeholders on measurement maturity, instrumentation strategy, data-collection design, privacy considerations, and implementation tradeoffs • Establish and refine best practices for measurement plans, event frameworks, naming conventions, parameter structures, data-layer requirements, consent-aware behavior, quality assurance, and implementation documentation • Guide scalable tagging architectures, event instrumentation, validation approaches, and platform configurations • Translate complex stakeholder questions into measurement approaches, implementation frameworks, and actionable recommendations • Lead implementation audits and reviews to identify tracking gaps, risks, inefficiencies, and improvement opportunities • Collaborate with analytics, data science, engineering, platform, experimentation, and reporting teams • Review major measurement programs and deliverables for quality, clarity, consistency, consent alignment, and business value • Contribute measurement expertise to solution shaping, proposals, thought leadership, and new-business opportunities • Create reusable frameworks, standards, templates, quality-assurance assets, and accelerators • Promote governance, privacy, consent, and implementation standards • Mentor practitioners and help define excellent measurement practice across the organization • Use approved AI-enabled tools and workflows for documentation, tracking-plan quality, quality-assurance preparation, implementation reviews, troubleshooting, and stakeholder communication • Validate AI-generated outputs against platform behavior, data-layer realities, consent requirements, governance standards, and client-specific measurement needs • Contribute methods, coaching approaches, quality controls, and delivery standards for responsible AI adoption

🎯 Requirements

• Deep expertise in digital measurement, event tracking, tagging strategy, consent-aware instrumentation, and analytics implementation • Experience shaping measurement approaches in complex, ambiguous, and highly visible business environments • Ability to connect implementation design, business context, privacy requirements, and downstream analytics needs • Strong knowledge of tag management, data layers, consent behavior, cookie governance, customer event flows, and implementation-quality standards • Strong stakeholder-management and advisory skills, including communication with senior audiences • Systems thinking across measurement, analytics, experimentation, platforms, and reporting workflows • Ability to improve quality and consistency across multiple teams through collaboration and influence • Strong written and verbal communication skills in English, including workshop facilitation, presentations, and strategic advisory communication • Ability to balance strategic thinking with practical delivery considerations • Experience collaborating with distributed, multidisciplinary teams • Active use of approved AI-enabled tools and workflows • Ability to human-review and validate AI-generated tagging logic, documentation, and implementation guidance • Google Analytics 4, Adobe Analytics, or Amplitude experience may be relevant to client environments • Google Tag Manager, Adobe Launch, or Tealium iQ experience may be relevant to client environments • Experience with consent-management platforms such as OneTrust, TrustArc, Osano, or Usercentrics may be relevant to client environments • Nice-to-have: Google Analytics certification or equivalent GA4 training • Nice-to-have: Google Tag Manager training or equivalent coursework • Nice-to-have: Adobe Analytics training • Nice-to-have: Adobe Launch or related implementation training • Nice-to-have: Privacy, consent, or analytics implementation training

🏖️ Benefits

• Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts • Medical, dental, and vision insurance for you and your family • Employer contributions to Health Savings Accounts • Competitive compensation package • Reasonable accommodations during the interview process