Director, AI & Data Science

CSL; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

CSL Behring is seeking a Director of AI & Data Science to lead BARDS' strategy and execution across Commercial, Medical, Market Access, and enterprise priorities. The role drives AI-enabled decision support, advanced analytics, and GenAI capabilities to improve patient outcomes and business impact.

The candidate will partner with senior leaders to translate business needs into scalable AI solutions, establish governance and adoption plans, and scale capabilities responsibly in a global life

Qualifications

• Deep technical expertise in AI/ML, data Science, and GenAI.
• Strong life sciences domain knowledge and healthcare analytics.
• Experience leading cross-functional AI/ML programs from concept to production.
• Ability to influence senior stakeholders in a global matrixed environment.

Responsibilities

• Lead the AI and Data Science strategy for BARDS aligning with Commercial, Medical, Market Access, and enterprise priorities.
• Oversee development and deployment of AI/ML, GenAI, and analytics solutions across priority business areas.
• Provide technical leadership for patient identification and disease-focused AI initiatives.
• Partner with Tender and Pricing to identify AI opportunities tied to commercial outcomes.
• Establish governance, risk management, and responsible AI practices across the organization.

Job description

The Opportunity

CSL is accelerating innovation to deliver greater impact for patients through data, analytics, digital transformation, and artificial intelligence. Within the Business Analytics, Reporting, Data & AI Strategy, BARDS, organization, the Director, AI & Data Science will play a critical leadership role in shaping and advancing CSL Behring's Commercial and Medical AI agenda.

This role will lead the strategy, development, governance, and deployment of advanced analytics, machine learning, GenAI, and AI-enabled decision support capabilities across CSL Behring's Commercial, Medical, Market Access, and cross-functional business priorities. The Director will be responsible for translating complex business needs into scalable AI and data science solutions that improve decision-making, accelerate insight generation, support patient identification, optimize commercial execution, and enable measurable business and patient impact.

The Director will serve as a senior thought partner to Commercial, Medical Affairs, Market Access, I&T, Data Governance, Legal, Compliance, Privacy, and external partners. This role will be accountable not only for developing and deploying AI/ML solutions, but also for building the operating model, governance framework, adoption strategy, and capability roadmap required to responsibly scale AI and data science across the organization.

The ideal candidate brings deep technical expertise, strong life sciences domain knowledge, experience leading cross-functional AI/ML programs from concept to production, and the ability to influence senior stakeholders in a matrixed global environment. This individual must be able to bridge technical innovation with business strategy, ensuring that AI and data science capabilities are not only innovative, but practical, trusted, governed, and tied to measurable outcomes.

The Role

AI & Data Science Strategy

• Develop and lead the AI and Data Science strategy for BARDS, aligned to CSL Behring's Commercial, Medical, Market Access, and broader enterprise priorities.
• Build and maintain a clear AI/DS roadmap that prioritizes high-value use cases across patient identification, rare disease diagnosis, Medical Analytics, Tender Analytics, forecasting, customer insights, competitive intelligence, and AI-enabled decision support.
• Partner with senior Commercial and Medical leaders to identify business challenges where AI, machine learning, GenAI, and advanced analytics can create measurable value.
• Establish a structured AI use case intake and prioritization framework, including business value, feasibility, data readiness, risk, level of effort, governance needs, and ROI.
• Translate emerging AI trends, technologies, and regulatory considerations into practical strategies for CSL's Commercial and Medical environment.

Advanced Analytics, AI/ML, and GenAI Solution Leadership

• Lead the development and deployment of advanced analytics, predictive modeling, machine learning, GenAI, and agentic AI solutions across priority business areas.
• Oversee AI/ML use cases from problem framing and feasibility assessment through proof of concept, pilot, production deployment, adoption, and value measurement.
• Provide technical and strategic leadership for patient identification and rare disease patient-finding models, including use cases in PID/SID, HAE, and other therapeutic areas where earlier diagnosis and intervention are critical.
• Lead the development of AI-enabled capabilities for Medical Analytics, including care gap identification, medical impact measurement, KOL and HCP insights, evidence generation support, field medical effectiveness, and disease education opportunities.
• Partner with Tender and Pricing teams to identify AI and advanced analytics opportunities related to tender performance, price erosion, market dynamics, competitive behavior, and decision support.
• Support forecasting and market insights teams by enabling GenAI and machine learning solutions for analog identification, scenario planning, signal detection, and insight generation.

Responsible AI, Governance, and Risk Management

• Partner with I&T, Data Governance, Legal, Compliance, Privacy, Medical, and Commercial stakeholders to ensure responsible and compliant development and deployment of AI solutions.
• Establish governance standards for AI/ML and GenAI solutions, including model validation, explainability, human-in-the-loop review, bias assessment, factuality, faithfulness, auditability, data quality, privacy, and risk management.
• Ensure AI-enabled tools are designed with appropriate controls, documentation, monitoring, user training, and business ownership.
• Represent BARDS in relevant AI, data governance, and cross-functional forums to ensure Commercial and Medical AI use cases are aligned with CSL's broader enterprise AI strategy.
• Develop practical frameworks to balance innovation with appropriate guardrails in a regulated life sciences environment.

Dataiku and AI Capability Enablement

Lead the st