Humana Logo

Humana

Lead Experience Architect, Adobe Journey Optimizer

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
126K-174K Annually
Senior level
Remote
Hiring Remotely in United States
126K-174K Annually
Senior level
Lead design and enablement of scalable, reusable customer journey blueprints using Adobe Journey Optimizer. Collaborate with marketing, data science, IT, and agile pods to embed personalization, NBA decisioning, and multivariant testing; provide templates, governance, and documentation to accelerate pod execution and ensure compliant, measurable, enterprise-scale journeys.
The summary above was generated by AI
Become a part of our caring community
 
You will blend strategic experience design with hands-on platform enablement. This work will involve collaboration across multiple teams, including marketing, IT, data science, and personalization. The goal of this collaboration is to ensure that journey structures are aligned with business goals and optimized for real-time personalization, experimentation, and enterprise scalability.

Role Responsibilities

Journey Architecture & Blueprinting

  • Design scalable, reusable journey components and logic frameworks aligned with AJO capabilities and business requirements
  • Create high-level journey blueprints that support personalization, and multichannel orchestration
  • Ensure consistency and feasibility across pods and use cases

Pod Enablement & Design Support

  • Act as a design lead across agile pods, validating journey logic and supporting AJO builders
  • Provide reusable templates, documentation, and guidance to accelerate pod-level execution
  • Promote consistency across pods while enabling flexibility for experimentation and variation

AI Enablement & Optimization

  • Collaborate with data science and personalization teams to embed NBA logic into journey design
  • Support multivariant testing strategies and content delivery
  • Monitor performance and recommend design optimizations based on engagement data

Cross-Functional Collaboration

  • Partner with Customer Lifecycle Marketing Strategists, Adobe consultants, IT, and NBA team members to align on experience design standards and journey logic
  • Collaborate with Agile pods, personalization teams, and data science to ensure journey blueprints are feasible, scalable, and aligned with enterprise goals
  • Provide reusable templates, logic frameworks, and documentation to support AJO builders and accelerate enablement across teams
  • Contribute to governance frameworks for journey logic, personalization rules, and compliance

Use your skills to make an impact

This role is foundational to our ability to grow personalized, compliant, and connected experiences across the enterprise. You'll be the connective tissue between strategy and execution—ensuring that what we design is not only visionary but also buildable, measurable, and repeatable.


Use your skills to make an impact
 

Required Qualifications

  • Bachelor's Degree in Experience Design, Marketing, Information Systems, or a related field

  • 5+ years in experience architecture, customer journey design, or marketing technology

  • 5+ years of experience with Adobe Journey Optimizer (AJO), Real-Time CDP, and NBA decisioning platforms

  • Experience designing scalable, reusable journey frameworks and logic structures

  • Collaboration skills across Agile pods, data science, engineering, and marketing strategy teams

  • Familiarity with multichannel personalization, compliance (HIPAA, TCPA), and consent frameworks

  • Experience working in Agile environments and collaborating across pods

Preferred Qualifications

  • Experience supporting MarTech platform migrations or platform enablement plans

  • Familiarity with NBA experimentation frameworks and multivariant testing strategies

  • Background in healthcare, insurance, or other regulated industries

  • Exposure to scaled Agile frameworks (e.g., SAFe, LeSS)

  • Certification in Experience Design, Product Management, or Marketing Technology

  • Experience collaborating with data science and engineering teams on personalization logic

  • Knowledge of consent and preference management frameworks and their impact on journey design

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


 

$126,300 - $173,700 per year


 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 06-26-2026
About us
 
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Similar Jobs

An Hour Ago
Easy Apply
Remote
United States
Easy Apply
162K-230K Annually
Senior level
162K-230K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead the telematics data platform vision and roadmap, partner with R&D and AI teams, productize telematics via APIs and integrations, ensure enterprise-grade reliability, drive cross-functional alignment, and mentor other product managers.
An Hour Ago
In-Office or Remote
146K-246K Annually
Senior level
146K-246K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, and deploy AI-native software that converts large-scale geospatial data into actionable intelligence. Build multi-agent workflows and integrate LLMs (GPT-4, Claude, Gemini) for contextual analysis and autonomous reasoning. Engineer agents with tool use, iterative self-refinement, and feedback loops; develop data ingestion and transformation layers; ensure secure, scalable cloud integrations; and deploy/operate systems in production using containerization, orchestration, and CI/CD.
Top Skills: AWSCi/CdClaudeClaude CodeCodexContainerizationEmbeddingsGCPGeminiGemini CliGoogle AdkGCPGpt-4JavaScriptLangchainLanggraphOrchestrationPythonRagVector Databases
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
118K-179K Annually
Senior level
118K-179K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.
Top Skills: Ai AgentsApache IcebergAuroraAWSAws RdsAzureDatabricksDbtFivetranGCPGoogle BigqueryMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonSnowflakeSparkSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account