Lead Measurement Analytics

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead intricate and impactful measurement strategies, tagging, instrumentation, and implementation projects across clients, business sectors, and strategic initiatives.

• Define measurement strategies that align business goals, reporting needs, experimentation requirements, consent considerations, customer event flows, and downstream data usage.

• Provide guidance to internal and client stakeholders on measurement maturity, instrumentation strategy, data collection design, privacy issues, and implementation trade-offs.

• Establish and enhance best practices for measurement plans, event frameworks, naming conventions, parameter structures, data-layer requirements, consent-aware behaviors, quality assurance, and implementation documentation.

• Direct scalable tagging architectures, event instrumentation, validation methods, and platform configurations.

• Convert complex stakeholder inquiries into measurement strategies, implementation frameworks, and actionable advice.

• Conduct implementation audits and reviews to identify tracking gaps, risks, inefficiencies, and areas for improvement.

• Collaborate with analytics, data science, engineering, platform, experimentation, and reporting teams.

• Review significant measurement programs and deliverables for quality, clarity, consistency, consent alignment, and business value.

• Contribute measurement expertise to solution development, proposals, thought leadership, and new business opportunities.

• Develop reusable frameworks, standards, templates, quality assurance assets, and accelerators.

• Advocate for governance, privacy, consent, and implementation standards.

• Mentor practitioners and help define exceptional measurement practices across the organization.

• Utilize 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

• Extensive expertise in digital measurement, event tracking, tagging strategy, consent-aware instrumentation, and analytics implementation.

• Experience in developing measurement approaches within complex, ambiguous, and highly visible business settings.

• Ability to connect implementation design with business context, privacy needs, and downstream analytics requirements.

• Strong understanding of tag management, data layers, consent behavior, cookie governance, customer event flows, and implementation quality standards.

• Excellent stakeholder management and advisory skills, including effective communication with senior audiences.

• Systems thinking across measurement, analytics, experimentation, platforms, and reporting workflows.

• Capability to enhance 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 discussions.

• Ability to balance strategic thinking with practical delivery considerations.

• Experience working with distributed, multidisciplinary teams.

• Active engagement with approved AI-enabled tools and workflows.

• Proficiency in human-reviewing and validating AI-generated tagging logic, documentation, and implementation guidance.

• Familiarity with Google Analytics 4, Adobe Analytics, or Amplitude may be beneficial for client environments.

• Experience with Google Tag Manager, Adobe Launch, or Tealium iQ may be relevant to client environments.

• Familiarity with consent management platforms like OneTrust, TrustArc, Osano, or Usercentrics may be relevant to client environments.

• Nice-to-have: Google Analytics certification or similar 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, offering remote and hybrid work options (dependent on location).

• Opportunities for career advancement, including international mobility and professional development programs.

• Access to learning and development resources, including cutting-edge tools, training, and industry experts.

• Comprehensive 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.