Associate Director, Commercial AI Tech Lead

About the role

The Associate Director, Commercial AI Technical Lead at Jazz Pharmaceuticals, Inc. provides senior-level technical expertise and hands-on leadership across AI and advanced analytics initiatives for the Commercial function. This role acts as a key individual contributor and technical advisor, partnering closely with the Commercial organization and Digital Enterprise Capabilities Data & AI colleagues to ensure AI solutions are technically sound, scalable, compliant, and value-driven.

Responsibilities

• Apply data science expertise for AI and advanced analytics solutions across Commercial use cases such as forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization.
• Provide technical expertise in Generative AI applications for field teams (e.g., pre-call planning), marketing teams (e.g., content generation or market research), operations teams (e.g., knowledge summarization and search), etc.
• Evaluate the technical quality of AI solutions, including (where applicable) LLM strategy, solution architecture, model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability.
• Review and challenge analytical approaches, assumptions, and outputs from internal teams and external vendors to ensure solutions meet Jazz standards for rigor, trust, and compliance.
• Support technical assessments of build versus buy options for commercial AI capabilities, considering time to value, cost, scalability, extensibility, vendor dependency, and long term ownership.
• Participate in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness.
• Contribute clear technical input and recommendations to inform investment and solution implementation decisions. Evaluate build versus buy frameworks.
• Support prioritization of commercial AI initiatives by assessing feasibility, data readiness, implementation complexity, adoption readiness, and potential business impact.
• Partner with commercial and analytics stakeholders to define success metrics and ensure AI solutions are designed to deliver measurable value.
• Define pilot or MVP solutions that test solution applicability, confirm value measurement and define supporting process changes.
• Identify opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions.
• Remain hands on as needed, contributing to or reviewing development, experimentation design, feature engineering, and analytical pipelines.
• Apply best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment.
• Partner closely with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions.
• Translate complex technical concepts into clear, actionable guidance for non-technical stakeholders.
• Ensure commercial AI solutions align with enterprise data, AI, security, and governance standards.

Requirements

• Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations.
• Experience evaluating third party AI solutions and comparing them with internally developed approaches.
• Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements.
• Strong communication and collaboration skills with the ability to influence without formal authority.
• Experience supporting AI initiatives in a matrixed enterprise environment.
• Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data.

Qualifications

• Bachelor’s degree with advanced training or experience in Data Science, Statistics, Computer Science, Engineering, Social science fields (quantitative psych, quantitative sociology, or economics) or a related quantitative field; advanced degree preferred.

Skills

• Experience in Generative AI applications for field teams, marketing teams, and operations teams.
• Ability to evaluate technical quality of AI solutions, including model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability.
• Experience in technical assessments of build versus buy options for commercial AI capabilities.
• Experience in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness.
• Experience in defining pilot or MVP solutions that test solution applicability, confirm value measurement, and define supporting process changes.
• Experience in identifying opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions.
• Experience in applying best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment.
• Experience in partnering with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions.
• Ability to translate complex technical concepts into clear, actionable guidance for non-technical stakeholders.
• Experience in ensuring commercial AI solutions align with enterprise data, AI, security, and governance standards.