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IQVIA

EBP Analytics Technology Lead

IQVIA

Technology & AI Lead responsible for offering development and delivery excellence using AI at IQVIA. Engaging biopharma clients to improve their data management and analytical capabilities.

Posted 7/30/2026full-timeCalifornia, New Jersey, Pennsylvania, Texas • 🇺🇸 United StatesSenior💰 $125,800 - $350,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in life sciences consulting with a focus on AI and data solutions, driving business development and delivering high-quality client engagements. Proficient in architecting scalable solutions that align with client business goals while leveraging healthcare data and analytical methods.

Highest-signal resume keywords
Life Sciences ConsultingCloud Data PlatformsAI/ML ModelingCommercial Data & AnalyticsInterpersonal Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Solutions DevelopmentData Solutions ArchitectureHealthcare Data AnalysisAnalytical MethodsProposal DevelopmentProject ManagementMLOpsGenAI ApplicationsLLM ApplicationsSolution Shaping
Soft Skills
Collaboration SkillsCommunication SkillsExecutive Presence
Tools & Technologies
AWSAzureGCPSnowflakeDatabricksIQVIARWD Sources
Industry Keywords
BiopharmaCommercial Practice AreasClient EngagementsTechnical StandardsFinancial StandardsQuality Standards

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Drive offering development and delivery excellence using AI
  • Lead business development efforts including solution shaping and proposal development
  • Collaborate with Technology Client Partners to sell solutions across technology, data, and analytics products
  • Shape the vision and roadmap for the Technology & AI practice
  • Collaborate with internal offerings teams to build and enhance offerings
  • Architect scalable AI and data solutions aligned with client business goals
  • Ensure engagements meet technical, financial, and quality standards

Requirements

What you’ll need
  • 10+ years of experience in life sciences consulting
  • Track record of selling, managing, and delivering client projects
  • Solid understanding of healthcare data, analytical methods, and Commercial practice areas in biopharma
  • Strong expertise in at least two of the following: Cloud data platforms (AWS/Azure/GCP/Snowflake/Databricks), Commercial Data & Analytics platforms (IQVIA, RWD sources), GenAI and LLM applications in life sciences, AI/ML modeling and MLOps
  • Strong interpersonal and collaboration skills
  • Strong communication and executive presence

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities