Lead Digital Analytics Engineer

Gen • New York, NY

3d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience modernizing legacy analytics systems or consolidating multi-brand environments.
• Understanding of privacy, consent management, and data governance best practices.
• Ability to act as a strategic architect and hands-on implementer in an individual contributor role.
• Excellent communication skills and the ability to influence across teams without direct authority.

Responsibilities

• 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.

Benefits

• When you’re part of Gen, you have access to a range of resources and support to ensure you can do your best work and live your best life.
• This includes flexible working options with generous time off and competitive benefits and compensation packages.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees