Senior Director, AI Engineering

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WCG

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 Private Equity Round - WCG on 2019-11

Healthcare • Pharmaceuticals • SaaS

WCG is a global clinical research services and technology company that supports sponsors, CROs, research sites, and institutions across the lifecycle of clinical trials. Founded as a leader in independent ethical review, WCG provides IRB and IBC review, data monitoring committees, site enablement and study start-up services, participant recruitment and retention, and data & insights (including benchmarking, statistical consulting, and AI-powered trial foresight). The company also offers a suite of technology platforms (e. g. , ClinSphere®, eReview Manager, Total Enrollment, Total Feasibility) and large protocol and performance datasets to help design, plan, and run trials more efficiently and compliantly. WCG positions itself as a partner to biopharma and medical research organizations to accelerate trial activation, improve enrollment, and ensure regulatory and ethical compliance.

📋 Description

• Execute and operationalize the enterprise AI strategy, ensuring alignment to business priorities and measurable outcomes • Drive design, adoption and growth of AI platforms (ML, GenAI, MLOps, LLMOps) across clinical, regulatory, and operational domains • Lead prioritization of AI initiatives, balancing short-term delivery and long-term platform evolution • Partner with executive stakeholders to translate business needs into scalable AI solutions • Establish and scale enterprise-wide architectures for AI model development, deployment, monitoring, and lifecycle management. • Drive implementation and continuous improvement of AI platform infrastructure and pipelines • Ensure AI platforms integrate seamlessly with enterprise data and technology ecosystems • Establish and enforce Responsible AI frameworks including model validation, bias mitigation, explainability, and auditability • Establish AI governance aligned with regulatory frameworks (GxP, ALCOA+, data integrity) • Build, lead, and scale high-performing, globally distributed AI engineering teams • Drive workforce planning, resource allocation, and capability building in AI engineering • Collaborate cross-functionally with product, data, compliance, and IT teams. • Manage strategic vendor relationships and AI-related third-party platforms. • Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.

🎯 Requirements

• 10+ years of experience in AI/ML, data engineering, or advanced analytics. • 7+ years of leadership experience managing global engineering or AI teams. • Experience building and scaling AI and ML platforms in production environments. • Demonstrated ability to lead large-scale, cross-functional initiatives with measurable outcomes • Deep knowledge of ML, NLP, and Generative AI technologies. • Experience using cloud platforms such as Azure, AWS, or GCP. • Experience managing vendors and distributed/offshore teams • Familiarity with MLOps and LLMOps practices. • Experience working in regulated environments (strongly preferred).

🏖️ Benefits

• Comprehensive Benefits package - Health, Dental, Vision, Life Disability, 401k with match, and flexible spending accounts • Employee Assistance Programs and additional work/life resources • Referral Bonuses and Tuition Reimbursement • Paid time off including holidays, vacation, and sick time • Opportunities for career development with on-the-job training, certification assistance and continuing education reimbursement