Parexel

Vice President, AI Enablement

Parexel

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

AzureCloud

About the role

  • Define and evolve Parexel’s enterprise AI strategy, roadmap, and investment portfolio
  • Identify priority use cases aligned to business value, feasibility, and regulatory constraints
  • Conduct AI maturity assessments and establish long‑term capability-building plans
  • Co-chair AI governance and define standards for model lifecycle management, validation, auditability, and transparency
  • Ensure compliance with GxP, global regulatory guidance, and responsible AI principles
  • Partner with Quality, Legal, and Compliance to operationalize risk management for AI systems
  • Oversee enterprise AI platforms, tooling, and data pipelines
  • Drive scalable architecture for GenAI, ML operations, retrieval‑augmented generation, and secure model hosting
  • Evaluate and integrate vendor platforms while ensuring data privacy and clinical-grade security
  • Lead AI product teams delivering enterprise and function‑specific solutions
  • Establish repeatable implementation frameworks, delivery methodologies, and KPIs
  • Identify value-add vendor partners and co-develop and deploy AI based capabilities
  • Drive user adoption programs, training pathways, and change management across global teams
  • Serve as executive AI advisor to senior leadership including Clinical Development, Commercial, Regulatory, Legal, Quality, and Operations
  • Align AI programs with broader Data & Technology strategy and transformation goals
  • Represent Parexel externally with partners, clients, and industry bodies
  • Build and lead a global organization of AI product managers, engineers, data scientists, and AI governance specialists
  • Develop talent pathways and partnerships to ensure cutting‑edge expertise

Requirements

  • 15+ years in data science, AI/ML, or technology leadership roles; at least 7 years in executive or senior leadership
  • Deep knowledge of clinical research processes, clinical data lifecycle, and pharmaceutical/life sciences regulatory expectations
  • Experience implementing enterprise AI platforms (GenAI, MLOps, data pipelines, automation)
  • Proven success operationalizing large-scale AI programs in GxP or other highly regulated industries
  • Familiarity with emerging AI regulations (EU AI Act, FDA, EMA expectations)
  • Experience with cloud-based AI ecosystems (Azure preferred)
Benefits
  • Health, Vision & Dental Insurance
  • Tuition Reimbursement
  • Vacation/Holiday/Sick Time
  • Flexible Spending & Health Savings Accounts
  • Work/Life Balance
  • 401(k) with Company match
  • Pet Insurance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI strategymachine learningdata pipelinesGenAIMLOpsautomationmodel lifecycle managementrisk managementchange managementKPI development
Soft Skills
leadershipcommunicationcollaborationstrategic thinkingproblem-solvingorganizational skillsuser adoptiontraining developmentexecutive advisorypartnership building