Technical Lead, CX Insights & Analytics

Johnson & Johnson

Confirmed live yesterday High trust

Closes in 6 days

Quick summary

Work type: On-site
Location: Jacksonville, FL
Employment: Full-time
Posted: 9 days ago
Freshness: Confirmed live yesterday
Closes: Oct 8, 2026 (soon)
Nearby: 74 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $179k

$128k most similar roles pay here $223k

This listing doesn't post a salary. Most similar roles pay $153,087–$204,012.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 45 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 42 roles with salary data.

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At a glance

TL;DR · Technical Lead, CX Insights & Analytics

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The Technical Lead, CX Insights & Analytics serves as a senior technical authority within the Vision team to provide enterprise leadership for the Qualtrics XM Discover platform and its supporting analytics ecosystem. This role is responsible for overseeing platform architecture, integration design, production reliability, data integrity, and security governance while translating business needs into scalable solutions. The individual will manage complex data pipelines, oversee model performance, and guide the development of dashboards, APIs, and SQL assets. Key technologies include Qualtrics XM Discover, Databricks, SQL, Python, Scala, R, and PySpark. The role also involves managing advanced analytics such as sentiment analysis and predictive modeling to solve challenges in vision treatments. The position requires expertise in data modeling, cloud architecture, and integrating CRM, survey, and contact-center data within a regulated healthcare environment.

Skills

Qualtrics XM Discover Databricks SQL Python Scala R PySpark Machine Learning natural-language processing Data Engineering CI/CD CRM Microsoft Dynamics Genesys Business Intelligence Data Modeling Predictive Analytics SAS

What you'll do

Serve as the primary technical owner and subject matter expert for Qualtrics XM Discover and its supporting data ecosystem.
Define and maintain the target architecture, technical roadmap, design patterns, and lifecycle strategy for CX analytics platforms.
Design and oversee secure, scalable data pipelines integrating customer interaction, survey, CRM, and operational data.
Manage production data integrity, including connector health, performance optimization, capacity planning, and incident resolution.
Establish governance standards for data access, privacy, retention, taxonomy, lineage, and model documentation.
Lead the design, tuning, and quality assurance of sentiment analysis, text analytics, and predictive models.
Oversee the development of dashboards, reusable data products, APIs, and SQL assets across Databricks and BI tools.
Translate business requirements into compliant technical solutions while communicating platform health and risks to senior leadership.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Analytics, or a related field.
Experience in analytics platforms, data engineering, solution architecture, enterprise applications, or related technical disciplines.
Experience leading complex platform implementations, integrations, or modernization initiatives in a large enterprise environment.
Hands-on expertise with Qualtrics XM Discover or comparable voice of the customer and text analytics platforms.
Advanced experience with Databricks or similar cloud data platforms, SQL, data pipelines, APIs, and data modeling.
Knowledge of platform security, access controls, privacy, retention, data quality, lineage, and production governance.
Ability to provide technical direction, influence cross-functional teams, and communicate architecture and risk to senior leaders.
Proficiency in Python, Scala, R, PySpark, or advanced knowledge of NLP and machine learning (preferred); relevant certifications (preferred).

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