Lead Measurement Analytics

Valtech

23h • CA$110,000 - CA$160,000 • Hybrid

About The Position

Valtech is seeking a Lead Measurement Analytics professional to shape high-value measurement strategies, establish scalable instrumentation approaches, and elevate the quality and consistency of measurement delivery across client engagements. In this senior individual-contributor role, you will advise internal and client stakeholders on tagging strategy, event design, consent-aware tracking, implementation quality, and measurement governance. You will combine measurement leadership, business advisory skills, and cross-functional influence to connect business goals with robust, privacy-conscious data collection and analytics implementation.

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.
• The 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 the ability to communicate with senior audiences.
• Systems thinking across measurement, analytics, experimentation, platforms, and reporting workflows.
• The 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.
• The ability to balance strategic thinking with practical delivery considerations.
• Experience collaborating with distributed, multidisciplinary teams.
• AI fluency: Actively use approved AI-enabled tools and workflows to improve measurement documentation, tracking-plan quality, quality-assurance preparation, implementation reviews, troubleshooting, and stakeholder communication.
• Understand that AI-generated tagging logic, documentation, and implementation guidance require human review. Validate outputs against platform behavior, data-layer realities, consent requirements, governance standards, and client-specific measurement needs.
• Strengthen responsible AI adoption by contributing reusable methods, coaching approaches, quality controls, and delivery standards that improve client value without compromising implementation rigor, privacy, or accountability.

Nice To Haves

• Experienced in Agile methodologies and consulting (a plus)
• Google Analytics certification or equivalent GA4 training
• Google Tag Manager training or equivalent coursework
• Adobe Analytics training
• Adobe Launch or related implementation training
• Privacy, consent, or analytics implementation training
• Relevant training across analytics, customer data, consent-management, or implementation platforms

Responsibilities

• Lead complex, high-impact measurement strategy, tagging, instrumentation, and implementation initiatives across clients, business areas, and strategic programs.
• Define measurement strategies that connect 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 the design of scalable tagging architectures, event instrumentation, validation approaches, and platform configurations.
• Translate complex or ambiguous stakeholder questions into clear measurement approaches, implementation frameworks, and actionable recommendations.
• Lead implementation audits and reviews to identify gaps, risks, inefficiencies, and opportunities to improve tracking ecosystems.
• Collaborate across analytics, data science, engineering, platform, experimentation, and reporting teams to strengthen end-to-end measurement.
• 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 and improve reusable frameworks, standards, templates, quality-assurance assets, and accelerators.
• Promote strong expectations for governance, privacy, consent, and implementation standards.
• Mentor practitioners and help define excellent measurement practice across the organization.

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, plus employer contributions to Health Savings Accounts

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed