Lead measurement strategy and analytics implementation for Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Advising clients on tagging, consent, governance, and data quality.
Responsibilities
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
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
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