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Lead the Industry Economics & Market Outlook capability by providing quantitative insights, overseeing market outlook development, and guiding a high-performing analytics team.

The Director will drive organizational transformation through change management and design, enhancing effectiveness and performance while fostering a culture of engagement and collaboration across the organization.

Manage laboratory agreements, conduct market assessments, develop contracting strategies, prepare budgets, and negotiate contracts for members.

Lead strategy, planning, and execution of enterprise and regional tradeshows. Manage event portfolio, budgets, vendors, exhibit assets, governance, measurement, and cross-functional alignment. Drive ROI, optimize performance, and develop a high-performing events team to support brand, client engagement, and commercial objectives.

This role supports strategic sourcing and contract implementation by analyzing spend data to identify savings opportunities and providing data-driven recommendations to stakeholders.

The role involves tier 2 triage for production incidents, analyzing issues, improving operational support, and maintaining documentation.

Lead architecture and development of scalable, secure systems; set engineering standards and CI/CD practices; mentor engineers; drive SRE/DevOps collaboration; adopt AI/ML tools; own incident response, root-cause analysis, performance optimization, IaC and cloud-native improvements; align technical roadmaps with product and business goals.

Design, develop, and support scalable backend services, cloud infrastructure, and data platform capabilities for AI/ML and healthcare analytics. Deploy and maintain ML models, LLMs, RAG pipelines, and production workflows using infrastructure-as-code, containerization, CI/CD, and observability practices. Mentor teammates and collaborate with product, data, and security teams.

Support consulting sales leaders by managing CRM pipeline, opportunity setup, deal configuration and pricing, reporting, and training. Monitor data quality, coordinate cross-functional approvals, deliver sales operations materials, and lead process improvement initiatives to increase efficiency and user adoption.

Lead enterprise AI Quality Engineering strategy and operations, creating validation frameworks, runtime assurance, synthetic test data and simulation platforms, and governance-aligned quality practices. Partner across engineering, clinical, security, data, and governance teams to ensure secure, compliant, observable, and scalable AI deployments in healthcare while driving organizational transformation, tooling evaluation, and team development.