Role OverviewThe
Manager, Performance and Analytics - Analytics Enablement is responsible for leading digital analytics implementation and enablement initiatives across client and internal teams, with a primary focus on
tag management, measurement architecture, data quality, and analytics platform enablement.
This role will lead and supervise projects involving the implementation, configuration, governance, and validation of digital measurement solutions, primarily using
Adobe Experience Platform (AEP) Tags / Adobe Launch. The Manager will partner with analytics, technology, media, experience, and client teams to translate business measurement requirements into scalable and reliable technical implementations.
A strong understanding of
Adobe Customer Journey Analytics (CJA) and Adobe Analytics is essential, as this role is responsible not only for enabling data collection but also for validating that implementations produce accurate, usable data for downstream reporting, analysis, and activation.
The ideal candidate combines strong technical knowledge with project leadership and consulting skills. They should be comfortable moving between business requirements, solution design, implementation oversight, quality assurance, troubleshooting, and communication with technical and non-technical stakeholders.
Responsibilities - Lead and supervise analytics enablement and implementation projects, with a primary focus on digital measurement and tag management using Adobe Experience Platform Tags (Adobe Launch).
- Translate business, marketing, and measurement requirements into scalable analytics implementation and tagging strategies.
- Define and oversee tagging architectures, data layers, event tracking, variables, rules, extensions, and related implementation standards across websites and digital experiences.
- Partner with developers and technology teams to define data layer requirements and technical specifications required to support analytics implementations.
- Provide technical guidance and quality oversight throughout the implementation lifecycle, from requirements gathering and solution design through development, QA, deployment, and post-launch validation.
- Establish and maintain tag management governance, including naming conventions, documentation standards, development workflows, publishing processes, access controls, and implementation best practices.
- Use Adobe Analytics and Adobe Customer Journey Analytics (CJA) to validate implementations and confirm that collected data accurately reflects expected customer behaviors and measurement requirements.
- Develop and oversee comprehensive quality assurance and validation processes for analytics implementations, identifying data collection issues and working with development and analytics teams to resolve them.
- Troubleshoot complex tagging and data collection issues across browser, tag management, analytics, and data layer environments.
- Evaluate existing implementations and identify opportunities to improve data quality, scalability, maintainability, and measurement consistency.
- Collaborate with Analytics, Business Intelligence, Media, CRM, Experience, and Technology teams to ensure measurement solutions support broader business and client objectives.
- Lead multiple analytics enablement projects simultaneously, managing priorities, dependencies, timelines, risks, and deliverables across teams and clients.
- Communicate technical concepts, implementation decisions, risks, and recommendations clearly to both technical and non-technical stakeholders.
- Develop reusable frameworks, documentation, standards, and best practices that improve the efficiency and consistency of analytics implementations across teams.
- Identify opportunities to introduce new tools, processes, automation, and technical approaches that improve analytics enablement and measurement capabilities.
- Provide mentorship and technical guidance to analysts and other team members, supporting their development in analytics implementation, measurement, and Adobe technologies.
- Build strong partnerships with client and internal stakeholders and serve as a trusted advisor on digital measurement strategy, analytics implementation, and data quality.
Required Qualifications - Bachelor's degree in Computer Science, Information Systems, Analytics, Mathematics, Statistics, Marketing, or a related field, or equivalent professional experience.
- 6+ years of experience in digital analytics, marketing technology, analytics implementation, or related disciplines.
- Strong hands-on knowledge of Adobe Experience Platform Tags (Adobe Launch), including rules, data elements, extensions, environments, libraries, and publishing workflows.
- Strong understanding of digital analytics implementation and measurement architecture, including event tracking, variables, data layers, and tagging specifications.
- Experience designing, reviewing, or managing website and digital experience data layers.
- Strong working knowledge of Adobe Analytics, including the ability to use analytics data to validate and troubleshoot implementations.
- Working knowledge of Adobe Customer Journey Analytics (CJA) and its role within the broader Adobe Experience Platform ecosystem.
- Experience performing analytics implementation QA, debugging, and data validation.
- Strong understanding of web technologies relevant to analytics implementation, including JavaScript, HTML, browser developer tools, cookies, network requests, and client-side data collection.
- Demonstrated experience leading projects involving multiple technical and business stakeholders.
- Ability to manage multiple projects and clients simultaneously in a fast-paced and evolving environment.
- Strong problem-solving skills with the ability to investigate complex data collection issues and identify root causes.
- Excellent written and verbal communication skills, including the ability to explain technical concepts and recommendations to non-technical audiences.
- Demonstrated ability to provide direction, delegate responsibilities, and mentor team members.
Desired Qualifications - Experience with Adobe Experience Platform (AEP) and an understanding of schemas, datasets, identities, and Web SDK implementations.
- Experience implementing or supporting Adobe Experience Platform Web SDK.
- Knowledge of SQL for data exploration, validation, and troubleshooting.
- Experience with Power BI or similar business intelligence and visualization platforms.
- Familiarity with other tag management and analytics platforms, such as Google Tag Manager and Google Analytics.
- Experience working with consent management platforms and understanding how privacy, consent, and governance requirements affect analytics data collection.
- Familiarity with server-side data collection, APIs, or other modern analytics implementation approaches.
- Experience developing analytics implementation documentation, including solution design references, measurement plans, tagging specifications, data dictionaries, and QA documentation.
- Experience working in an agency, consulting, or multi-client environment.
Key CompetenciesThe successful candidate will demonstrate:
- Technical leadership: Able to provide direction and oversight for complex analytics implementations while remaining close enough to the technology to identify issues and recommend solutions.
- Measurement mindset: Understands that successful analytics enablement is not simply deploying tags, but ensuring that the resulting data is accurate, consistent, and useful.
- Quality orientation: Maintains a high standard for implementation quality, documentation, governance, and data integrity.
- Consultative thinking: Can translate business questions into measurement requirements and technical solutions.
- Cross-functional collaboration: Works effectively across Analytics, Technology, Media, CRM, Experience, and client organizations.
- Project leadership: Can structure and drive multiple workstreams, manage dependencies, and keep teams aligned around deliverables and outcomes.
- Continuous improvement: Proactively identifies opportunities to improve analytics architecture, processes, tools, and ways of working.
- Communication: Can confidently present recommendations, implementation decisions, risks, and technical concepts to stakeholders at multiple levels of an organization.
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