Lifecycle Automation & Analytics Lead (Journey Architect)

Spandex; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Spandex is seeking a senior Lifecycle Automation & Analytics Lead to design, govern, and optimise our lifecycle architecture across markets. This role ensures journeys are data-driven, quality-assured, and aligned to global standards, driving commercial impact through segmentation, experimentation, and governance.

You will define frameworks for triggers, timing, suppression, and channel orchestration, own segmentation models (RFM, engagement tiers), and lead measurement programs with A/B testing

Formación

• Proven experience in lifecycle marketing and CRM at scale.
• Expertise in journey orchestration and personalization.
• Strong analytics with data-driven decision making.
• Experience in multi-country, matrix organisations.

Responsabilidades

• Define and maintain global lifecycle journey blueprints.
• Establish standards for triggers, timing rules, suppression logic, and channel orchestration.
• Ensure consistent lifecycle frameworks across countries and business units.
• Own and evolve the global segmentation framework.
• Develop and maintain RFM models, engagement tiers, and affinity models.
• Define lifecycle measurement standards, including A/B testing protocols.
• Drive a test-and-learn culture across markets and CRM teams.
• Lead structured performance reviews and continuous optimisation cycles.
• Review and approve optimisation proposals from Journey Managers.
• Ensure recommendations are evidence-based and commercially sound.

Conocimientos

Lifecycle marketing

CRM at scale

Journey orchestration

Segmentation & targeting

Analytics & measurement

Multi-country collaboration

Herramientas

Emarsys

Descripción del empleo

Lifecycle Automation & Analytics Lead (Journey Architect)

Department: Customer Experience

Reports to: Customer Experience & Commercial Strategy Director

About the Role

Spandex is advancing its global lifecycle marketing capability and is seeking a Lifecycle Automation & Analytics Lead to design, govern, and optimise our lifecycle architecture across all markets. This senior role ensures customer journeys are structured, data-driven, quality-assured, and consistently aligned to global standards.

You will define the frameworks that guide how lifecycle journeys are built, measured, and improved- driving commercial impact through segmentation, experimentation, and structured governance.

Key Responsibilities

Lifecycle Architecture & Governance

• Define and maintain global lifecycle journey blueprints.
• Establish standards for triggers, timing rules, suppression logic, and channel orchestration.
• Ensure consistent lifecycle frameworks across countries and business units.

Segmentation & Targeting Strategy

• Own and evolve the global segmentation framework.
• Develop and maintain RFM models, engagement tiers, and affinity models.
• Ensure segmentation is scalable, actionable, and embedded into all lifecycle journeys.

Experimentation & Measurement

• Define lifecycle measurement standards, including A/B testing protocols and control group methodologies.
• Drive a test-and-learn culture across markets and CRM teams.
• Ensure lifecycle initiatives are measurable and linked to commercial outcomes.

Quality Assurance & Activation Standards

• Establish QA standards for all lifecycle journeys.
• Define "ready-to-activate" criteria covering targeting accuracy, triggering logic, and brand alignment.
• Minimise post-release defects through structured governance.
• Review and approve optimisation proposals from Journey Managers.
• Ensure recommendations are evidence-based and commercially sound.
• Lead structured performance reviews and continuous optimisation cycles.

Skills, Knowledge & Experience

• Proven experience in lifecycle marketing, CRM, or marketing automation at scale.
• Strong expertise in journey orchestration platforms (Emarsys or similar).
• Deep understanding of segmentation, personalisation, and customer behaviour modelling.
• Experience with experimentation frameworks and incrementality measurement.
• Strong analytical capability with the ability to translate data into actionable insights.
• Experience working in multi-country, matrix organisations.