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, aligning it to business priorities and measurable outcomes • Drive the design, adoption, and growth of AI platforms, including ML, GenAI, MLOps, and LLMOps, across clinical, regulatory, and operational domains • Prioritize AI initiatives while balancing short-term delivery with long-term platform evolution • Partner with executive stakeholders to translate business needs into scalable AI solutions • Establish and scale architectures for AI model development, deployment, monitoring, and lifecycle management • Drive implementation and continuous improvement of AI platform infrastructure and pipelines • Integrate AI platforms with enterprise data and technology ecosystems • Establish and enforce Responsible AI frameworks covering model validation, bias mitigation, explainability, and auditability • Establish AI governance aligned with GxP, ALCOA+, and data integrity requirements • Build, lead, and scale globally distributed AI engineering teams • Drive workforce planning, resource allocation, and capability building • Collaborate with product, data, compliance, and IT teams • Manage strategic vendor relationships and AI-related third-party platforms • Perform other duties as assigned by the supervisor • Oversee team management, including direction, coordination, performance evaluation, training, work assignment, rewards, discipline, complaint handling, and problem resolution • Travel 10% to 20%

🎯 Requirements

• Bachelor’s degree in Computer Science or related field required • 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 • Master’s degree preferred and therefore not required • 10% to 20% travel

🏖️ 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