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Description: This role transforms digital data into clear business intelligence and personalized experiences across Honeywell web properties. It combines hands-on analytics, insight storytelling, stakeholder consulting, experimentation and activation. You will own the journey from an outcome-led question through analysis, recommendation, personalization design, implementation and optimization. Requirements: You must have - 5-7 years of relevant hands-on experience across Adobe Experience Cloud - particularly AEM, Adobe Analytics and Adobe Target - to build, analyze and personalize enterprise web experiences. - Advanced Adobe Analytics skills, including segmentation, journey and fallout analysis, calculated metrics and dashboard development. - Hands-on Adobe Target experience covering audiences, activities, profile scripts, QA, reporting and optimization. - Hands-on AEM experience, including page authoring, page layouts and reusable Experience Fragments. - Strong analytical thinking, stakeholder communication, attention to detail and end-to-end ownership. We Value - Experience with Adobe Launch or Web SDK, Marketo, Salesforce, Demand base, content or digital-asset platforms, and SEO or search-performance tools. - Experience with Analytics for Target (A4T), tagging, data-layer validation, consent or privacy considerations, and enterprise measurement governance. - Excellent stakeholder management and communication skills. Ability to manage multiple priorities in a matrixed environment Responsibilities: Key Responsibilities - Partner with business and marketing stakeholders to translate their needs into clear analytical approaches, KPIs and decision-ready outputs. - Understand web personas and use Adobe Analytics, and related data to uncover customer journeys, content performance, conversion barriers, behavioral patterns and meaningful opportunities. - Build clear, credible stories that explain what is happening, why it matters and what stakeholders should do next - going beyond reporting. - Use insights to prioritize opportunities and define complete personalization use cases covering the audience, behavioral or account signals, experience logic, business objective and success metric. - Build activities directly or through an agency partner using A/B testing, Experience Targeting, Multivariate Testing, Auto-Allocate, Auto-Target, Automated Personalization or Recommendations as appropriate. - Coordinate stakeholders, UX, content, devops and agencies through requirements, QA, UAT and launch; then interpret results, optimize performance and document reusable learnings. - Pilot uses of Writer AI, Microsoft Copilot and Adobe Target machine learning for analysis, content and personalization, supported by human review, governance, playbooks and training.