GCO AI Enablement and Analytics Associate Director

Scorpion Therapeutics; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Scorpion Therapeutics seeks an Associate Director to advance AI-enabled business transformation across Global Clinical Operations. You will drive analytics, automation, and digital capabilities to improve efficiency and decision making within clinical operations.

The role emphasizes designing low-code solutions, leading cross-functional teams, and promoting responsible AI usage in a fast-paced pharma environment.

Qualifications

• Strong analytical/problem-solving skills; translate data into actionable recommendations.
• Hands-on data science and AI/ML methodologies.
• Experience with data visualization tools (Power BI, Tableau).
• Knowledge of healthcare claims and EHR data; exposure to U.S. real-world data sources.
• Excellent communication and relationship-building across functions.

Responsibilities

• Support GCO business transformation strategy aligned with clinical operations priorities.
• Identify opportunities to improve operational performance via analytics, automation, and digital capabilities.
• Design and deploy low-code/no-code solutions and analytics assets across enterprise platforms.
• Develop repeatable frameworks and reusable assets to accelerate AI adoption.
• Act as business lead for one or more digital platforms.

Skills

Analytical problem solving

Data science & ML

Communication & influence

Strategic execution

Cross-functional leadership

Prioritization & time management

Education

Advanced degree in Math, Statistics, CS, Data Science, or similar

Tools

Power BI

Tableau

Job description

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).

Key Duties & Responsibilities

• 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.

Required Education

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

Required Experience

• 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.

Required Knowledge/Skills

• 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.