GCO AI Enablement and Analytics Associate Director

Position Summary

The GCO AI Enablement and Analytics Associate Director serves as the business-embedded technical expert responsible for advancing AI-enabled business transformation, advanced analytics, automation, and digital capabilities across Global Clinical Operations (GCO).

• Support GCO business transformation strategy aligned with clinical operations priorities and enterprise digital initiatives.
• Identify opportunities to improve operational performance via advanced analytics, automation, process mining, and digital capabilities.
• Enable Performance Excellence initiatives through advanced and custom analytics.
• Design, develop, and deploy low-code/no-code solutions, reusable agents, prompt libraries, workflow automations, and analytics assets within approved enterprise platforms.
• Develop repeatable frameworks and reusable assets to accelerate adoption of AI-enabled capabilities.
• Act as business lead for one or more digital platforms.
• Evaluate platform capabilities and leverage embedded analytics, automation, and AI-driven insights.
• Drive awareness and utilization of platform capabilities to improve efficiency and decision-making.
• Provide technical expertise to evaluate AI-enabled technologies, analytics tools, and automation solutions.
• Develop evaluation frameworks, business requirements, proof-of-concepts, and adoption criteria for new technologies.
• Promote responsible AI principles (transparency, accountability, human oversight, appropriate use).
• Establish communities of practice, super-user networks, and AI champion programs.
• Coach and mentor stakeholders in AI, analytics, automation, and digital tools.

• Advanced degree in Math, Statistics, Computer Science, Data science, or similar.

• Typically 8 years’ experience in clinical operations, business transformation, analytics, data science, or operational excellence (life sciences/pharma/healthcare).
• At least 5 years in AI/digital transformation initiatives and enabling technologies.
• Demonstrated success building advanced analytics outputs.
• Experience supporting/leading digital transformation and AI/automation initiatives preferred.

• Strong analytical/problem-solving skills; translate complex data into actionable recommendations.
• Hands-on data science and AI/ML methodologies.
• Data analysis/visualization tools (e.g., Power BI, Tableau).
• Knowledge of healthcare claims and EHR data; exposure to U.S. real-world data (RWD) sources.
• Excellent communication, influence, and relationship-building across functions.
• Strategic mindset with ability to execute in a fast-paced environment.
• Experience with cross-functional, matrixed global teams.
• Manage multiple priorities and deliver on-time.