Director, AI & Data Science
- Compensation
- Not disclosed
- Location
- Americas, US-PA, King of Prussia, CSL Behring
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Bachelor’s degree required in Data Science, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Bioinformatics, Engineering, Epidemiology, Health Informatics, or a related quan
- Master’s degree or Ph.D. strongly preferred.
- 12 or more years of experience in data science, advanced analytics, AI/ML, GenAI, commercial analytics, healthcare analytics, or life sciences analytics.
- 5 or more years of experience leading cross-functional AI/ML or advanced analytics initiatives in pharma, biotech, healthcare, or a similarly regulated industry.
- Demonstrated experience developing and deploying machine learning models in commercial, medical, clinical, or healthcare contexts.
- Strong experience translating business problems into data science use cases and moving solutions from concept to pilot to production.
- Experience leading AI/ML or GenAI strategy, operating model development, governance frameworks, and adoption planning.
- Experience with rare disease patient identification, patient-finding models, HCP segmentation, care gap analytics, forecasting, Medical Analytics, Tender Analytics, or customer insights strongly prefe
- Strong understanding of responsible AI principles, including model explainability, bias, fairness, factuality, human-in-the-loop review, data privacy, risk management, and auditability.
- Experience with cloud environments and modern data science infrastructure, including AWS, Snowflake, Databricks, or equivalent platforms.
- Experience with Dataiku or similar enterprise AI/ML platforms strongly preferred.
- Familiarity with modern machine learning and AI frameworks such as Python, R, scikit learn, TensorFlow, PyTorch, LLMs, retrieval-augmented generation, multi-agent workflows, and GenAI evaluation frame
- Strong ability to influence senior stakeholders, lead through ambiguity, and drive alignment across matrixed global teams.
- Demonstrated ability to manage vendors, external partners, and cross-functional delivery teams.
- Strong executive communication skills, with the ability to translate complex technical topics into clear business implications and recommendations.
Full 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.