Manager, Tagging and Analytics

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Tagging and Analytics based in the United States. This is a full-time, remote opportunity. We are seeking an experienced digital analytics professional to lead tagging governance, measurement strategy, and data quality across a sophisticated retail analytics ecosystem. In this role, you will ensure that digital tracking implementations deliver accurate, consistent, and reliable data to support advanced analytics and informed business decisions. You will oversee tagging standards, implementation quality, and vendor relationships while collaborating with technical teams, business stakeholders, and clients. Your expertise will help establish scalable measurement frameworks, strengthen privacy and consent compliance, and improve confidence in analytics outputs. You will also shape the future of data collection by evaluating emerging technologies, including server-side tagging and modern analytics architectures. This is an opportunity to combine technical leadership, strategic planning, and cross-functional collaboration in a remote-first environment where data integrity drives business value.

Tagging Governance and Data Quality Oversee the implementation, optimization, and maintenance of tags across management platforms such as Google Tag Manager, Adobe, and Tealium. Validate data layers, manage releases, monitor tagging defects, and coordinate quality assurance, debugging, and troubleshooting activities. Establish and enforce tagging governance frameworks, implementation standards, documentation practices, and quality controls. Coordinate internal and external audits to verify that digital tools are correctly tagged and consistently capture reliable data. Monitor privacy and consent requirements, ensuring tagging practices align with applicable policies and compliance standards. Manage day-to-day relationships with vendors, developers, and technical partners to investigate discrepancies and resolve implementation issues. Measurement Strategy and Analytics Define measurement requirements, develop detailed tagging specifications, and establish consistent KPI definitions across internal teams, vendors, and clients. Design and optimize customer journey instrumentation to ensure digital interactions are captured accurately and support meaningful business insights. Develop and prioritize tagging initiatives, implementation roadmaps, and measurement improvements according to business objectives. Train and enable stakeholder teams on tagging standards, analytics implementation practices, and data quality expectations. Communicate data quality performance, defect trends, and improvement recommendations to internal stakeholders and clients. Coordinate analytics implementation projects, manage timelines and dependencies, and ensure deliverables meet established quality and budget expectations. Future-State Architecture and Technical Innovation Evaluate server-side tagging, evolving data collection architectures, and emerging technologies to improve measurement scalability and reliability. Assess build-versus-buy opportunities for tag management and data collection solutions. Support the evolution of privacy and consent architectures while balancing business requirements, regulatory expectations, and data quality. Identify opportunities to modernize analytics infrastructure and improve measurement capabilities across digital platforms. Leadership and Cross-Functional Collaboration Partner with analytics leadership and product development teams to define strategic priorities, develop roadmaps, and align tagging initiatives with broader business goals. Champion a culture of data quality, accountability, and analytical discipline across the organization. Lead cross-functional discussions to clarify requirements, document decisions, and prioritize implementation work. Provide authoritative guidance on tagging standards and resolve conflicts between business objectives and data governance requirements. Contribute to organizational goal setting, departmental planning, and continuous improvement initiatives. Requirements Education: Bachelor's degree required; a master's degree is preferred. Professional experience: 6–10 years of experience in digital analytics, measurement, or data governance, with demonstrated expertise in analytics implementation and industry best practices. Google Analytics 4: At least 2 years of hands-on experience implementing, configuring, and troubleshooting GA4, including a strong understanding of tagging architecture, events, parameters, and data models. Tag management systems: At least 5 years of experience working with tag management platforms, such as Google Tag Manager, including the design and implementation of complex tagging solutions. Data governance: Proven experience developing or enforcing data governance frameworks, tagging standards, quality assurance processes, and compliance protocols within complex digital environments. Project and vendor management: Strong project management skills, including the ability to coordinate multiple vendors, manage implementation schedules, oversee dependencies, and deliver projects on time and within budget. Technical analytics expertise: Experience with digital analytics QA, debugging tools, data validation techniques, and troubleshooting methodologies. Communication and stakeholder management: Excellent written, verbal, and presentation skills, with the ability to translate technical concepts into clear, actionable guidance for non-technical audiences. Analytical and problem-solving skills: A strong analytical mindset, with the ability to identify root causes of data quality issues and implement sustainable solutions. Organization and documentation: Exceptional attention to detail, strong organizational skills, and experience maintaining complex technical documentation and version control. Leadership and initiative: A self-directed approach, with the ability to lead initiatives independently while collaborating effectively across cross-functional teams. Industry knowledge: Experience in retail, e-commerce, or omnichannel environments is preferred, particularly familiarity with retail analytics metrics, use cases, and measurement requirements. Additional technical capabilities: Familiarity with Adobe Analytics, API integrations, data warehousing, customer data platforms (CDPs), SQL, or relational databases is advantageous. Advanced qualifications: Experience with enterprise analytics modernization or digital transformation initiatives, analytics auditing, or quality assurance is preferred. Certifications or advanced training in GA4, Google Tag Manager, or related analytics platforms are also beneficial. Travel and work authorization: Ability to travel domestically up to 5% based on business needs and legal authorization to work in the United States. Employment sponsorship is not available for this position. Benefits Annual salary: Starting salary range of $113,000–$130,000, depending on skills, qualifications, experience, performance, and geographic location. Healthcare coverage: Medical, dental, and vision insurance for eligible employees. Financial protection: Disability and life insurance benefits. Retirement savings: Access to retirement savings programs. Paid time off: Paid leave to support personal needs and work-life balance. Wellness programs: Access to employee wellness resources and programs. Professional development: Opportunities for continued learning, skills development, and career growth. Remote work flexibility: A virtual-first work environment with flexible working arrangements. Collaborative culture: The opportunity to work with cross-functional experts in analytics, technology, and product development. Meaningful impact: The chance to strengthen data integrity, improve analytics reliability, and support better business decisions through scalable measurement solutions.