Lead Digital Analytics Engineer - Tag Management

Who we are

Gen Digital is the global leader in digital safety. More than 5 billion people are online - banking, learning, shopping and connecting. Our mission is to Power Digital Freedom - guarding online wellness to enable rich, full and safe digital lives. Gen blocks more than 14B threats a year, yet cyber criminals are getting more creative every day - leveraging LLMs, deepfakes, and targeting our identities. Our family of brands: Norton, LifeLock, Avast, Avira, AVG, CCleaner and Reputation defender protect over 500 million people worldwide.

About the Role

We are looking for a highly skilled Lead Digital Analytics Engineer to drive the modernization of our site analytics, tagging infrastructure, and data layer across a multi-brand ecommerce ecosystem. This role is responsible for both strategy and hands-on execution, partnering with engineering, product, and marketing to design and implement a unified, modern measurement foundation.

You will architect and deploy a consistent data layer, consolidate multiple tag management systems, lead the implementation of a new analytics platform, and establish ongoing data quality monitoring and governance. This role is ideal for someone who thrives in complex environments, enjoys untangling legacy systems, and wants to own a high-impact transformation from end to end.

What You’ll Do

Data Layer Architecture & Standardization

• Design a unified, scalable data layer schema that supports multiple brands, experiences, and business needs.

• Audit and evaluate current data layer implementations; define a clear plan to migrate to a consistent model.

• Document event naming standards, business logic, and instrumentation requirements.

• Partner with engineering to ensure accurate, performant implementation across platforms.

Tagging Infrastructure & TMS Consolidation

• Consolidate and rationalize multiple tag management systems into a single, clean, governed environment.

• Audit existing tags, triggers, variables, and scripts; remove redundancies and resolve conflicts.

• Implement tagging best practices, governance controls, and release processes to ensure long-term stability.

• Maintain the TMS as the single source of truth for analytics and marketing instrumentation.

Analytics Platform Implementation

• Lead the deployment of a new analytics platform (e.g., GA4, Adobe, Amplitude, Mixpanel, Snowplow) from requirements to validation.

• Translate business needs into technical tracking specifications and event taxonomy.

• Collaborate with our analytics agency for architecture and tool recommendations while owning internal execution.

• Validate that data collection is accurate, complete, and aligned with KPIs and reporting needs.

Data Quality, Monitoring & Governance

• Build automated QA workflows and monitoring systems using tools like ObservePoint, Tag Inspector, or custom scripts.

• Establish repeatable testing processes for new site releases and features.

• Implement alerting and dashboards to proactively detect breakage or data drift.

• Create documentation, guidelines, and governance processes that ensure long-term data integrity.

Cross-Functional Collaboration

• Partner with engineering, product, marketing, UX, and privacy teams to align on measurement strategy and instrumentation.

• Provide technical expertise and clear communication to both technical and non-technical stakeholders.

• Contribute to a culture of data quality, transparency, and consistent measurement across the organization.

Who you are

• Expertise in digital analytics & tag management — strong hands-on experience with GTM, Tealium, or Adobe Launch.

• Data layer architecture & engineering skills — ability to design and implement scalable schemas across complex ecosystems.

• Strong JavaScript & debugging skills — comfortable writing custom logic, troubleshooting issues, and validating data in DevTools.

• Analytics implementation experience — deploying, configuring, and validating GA4, Adobe Analytics, Amplitude, Mixpanel, or similar tools.

• Data quality & monitoring capabilities — familiarity with automated auditing tools and governance frameworks.

Additional Experience

• 6–10+ years in digital analytics engineering, tag management, or web data collection roles.

• Experience modernizing legacy analyt