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The Vice President, AI Enablement leads Parexel’s enterprise‑wide Artificial Intelligence strategy and implementation agenda within the Data & Technology organization. This role is responsible for accelerating AI adoption across clinical, operational, and corporate functions; operationalizing safe and compliant AI systems; co-leading governance frameworks; and scaling platforms, capabilities, and talent that enable Parexel to leverage AI for efficiency, quality, and innovation.
Job Responsibility:
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
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)
Master’s degree or PhD in Computer Science, Data Science, Engineering, Bioinformatics, or related field preferred
Advanced business qualifications (MBA or equivalent) desirable
Excellent written and verbal communication skills
Exceptional ability to communicate complex AI concepts to both technical and non‑technical stakeholders
Strong executive leadership, collaboration, influence, and stakeholder‑management skills
Demonstrated ability to build and scale enterprise AI programs in regulated environments
Strong understanding of AI assurance frameworks, including risk assessment, validation, and monitoring
Ability to lead cross‑functional teams and deliver measurable business outcomes
What we offer:
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
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities