Optimizely Architect (6 Months Contract/ Remote Opportunity)

9 - 12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

🌟 We're Hiring: Optimizely Architect! 🌟

We are seeking an experienced Optimizely Architect to design and implement robust experimentation and personalization solutions. The ideal candidate will have deep expertise in Optimizely platform architecture, A/B testing strategies, and digital optimization to drive data-driven decision making and enhance user experiences.

Role: Optimizely ArchitectExperience Required: Minimum 9 to 12 YearsJob Type: Contract to hire (6 Months)Location: Remote/ PuneWork Mode: Permanent Work From Home/ Hybrid for Pune based candidatesShifts (Work Timings)– General ShiftNotice Period: Immediate to 15 Days

Job Summary

Must have and good to have skills

:
  • Optimizely CMS/DXP as a developer, solution architect, or technical consultant.
  • Proven expertise in A/B testing, personalization frameworks, tagging, and optimization strategies within Optimizely.
  • Strong understanding of Optimizely architecture, integrations, and API capabilities.
  • Experience evaluating or implementing Intelligent Content Layers and their interoperability with Optimizely.

Roles & Responsibilities

  • Act as the technical SME for Optimizely, advising on best practices and architectural considerations.
  • Conduct a comprehensive technical assessment of Optimizely’s capabilities in personalization, experimentation, tagging, and optimization.
  • Compare and evaluate Optimizely vs Intelligent Content Layer solutions, focusing on integration and scalability.
  • Provide input into the AI & Technology Opportunity Roadmap for digital experience optimization.
  • Identify and recommend tools, configurations, and architectural patterns to improve automation and measurement frameworks.
  • Collaborate with internal teams and client stakeholders to align findings with broader digital transformation goals.
  • Deliver technical documentation and recommendations for future state architecture and optimization strategy.

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