Marketing Tech senior Lead

Accountabilities:

• Act as the Customer Journey Analytics (CJA) expert connecting data analytics teams with web and app engineering teams, ensuring analytics requirements are clearly translated into actionable technical solutions.

• Translate analytics requirements into detailed technical specifications for engineering teams and validate that delivered implementations accurately reflect the defined requirements.

• Own and continuously maintain solution design references and supporting documentation as a core deliverable for the analytics ecosystem.

• Build and modify CJA connections and data views across an existing estate of approximately 13 connections, while designing new views for email and push performance reporting.

• Onboard additional data sources into CJA, including digital experience monitoring data, and ensure they are appropriately integrated into the analytics environment.

• Advise analytics and business stakeholders on the appropriate segments, events, and variables to use for reporting, analysis, and customer journey insights.

• Define the weekly reconciliation process between CJA and back-end order data, establish anomaly thresholds, and transition the operational execution to QA engineering.

• Own Adobe Target experimentation setup, including tests, audiences, traffic splits, and A4T reporting, while identifying relevant new platform capabilities for analytics and CRM teams.

Requirements

• Proven experience working as a Customer Journey Analytics (CJA) expert and successfully bridging data analytics and web or app engineering teams.

• Deep expertise in Adobe Target, including test configuration, audience management, traffic splits, and A4T reporting.

• Strong ability to translate complex analytics requirements into clear, actionable, and technically precise specifications for engineering teams.

• Demonstrated experience owning solution design documentation, maintaining data views, onboarding new data sources, and establishing reconciliation processes against back-end data.

• Ability to collaborate effectively with QA teams on data validation, anomaly detection, and quality assurance processes.

• A high-performance mindset characterized by resilience, emotional intelligence, accountability, and a strong focus on agile delivery.

• Strong technologist mindset, with a clear understanding of the distinction between simply coding solutions and applying broader engineering principles to build reliable and scalable systems.

• Familiarity with cloud-native foundations or AI coding assistants is desirable.

• Advanced spoken English is required for effective collaboration with global teams, along with advanced Spanish proficiency.

Benefits

• Remote work arrangement, depending on specific project requirements.

• Senior-level ownership across Customer Journey Analytics, Adobe Target, experimentation, data integration, and digital measurement.

• Opportunity to collaborate across analytics, engineering, QA, CRM, and business teams in an international environment.

• Exposure to modern marketing technology, digital analytics, experimentation, automation, and emerging AI-assisted development tools.

• High-impact scope with responsibility for solution design, data quality, reporting, and platform evolution.

• Opportunity to contribute to agile delivery while developing expertise across a complex digital technology ecosystem.

• Professional growth through collaboration with global teams and exposure to evolving analytics and marketing technology capabilities.

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