Lead Measurement Analytics

Posted 3 days ago

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About the role

  • 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
  • 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

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$110,000 - CA$160,000 per year

Degree requirement

No Education Requirement

Location requirements

RemoteCanada

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