Vice President, AI Enablement
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Job Description
Vice President leading AI Enablement to implement enterprise-wide AI strategy at Parexel. Overseeing AI governance, platform enablement, and talent development within the Data & Technology organization.
Responsibilities:
- 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
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