Director, Data Platform (Data and Semantic Enablement) responsible for data enablement across International Medical Affairs, Value & Access, and Patient domains at Novartis.
Compensation
Expected Annual Base Salary Range for role: 146,300.00 - 271,700.00 CHF
Responsibilities
Act as main Data, Analytics, AI & Platform Data team point of contact for data enablement across International Medical Affairs, Value & Access and Patient
Lead expansion of International data capabilities beyond Commercial by establishing a scalable Data Enablement model
Ensure Novartis International maximizes its investment in Data by leading as internal expert and educating stakeholders
Identify, assess and prioritize structured and unstructured data needs across Commercial, IMA, V&A and Patient
Lead definition of data enablement requirements for structured and unstructured data use cases
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Analytics, Business, Life Sciences, Health Economics, or another relevant technical or business-related degree
AI Data Engineer responsible for building and managing data pipelines, integrations, and retrieval architectures to support AI agents within Taulia’s fintech ecosystem.
Compensation
The estimated annualized base salary range for this position is $165,000 - $185,000.
Responsibilities
Build and maintain custom connectors (APIs, ETL pipelines) to extract data from core business systems for AI tools
Unlock siloed data for the AI ecosystem
Design and maintain data pipelines feeding the AI knowledge base
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Ensure data freshness and prevent obsolete information usage
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Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Design, code, and build AI prototypes hands‑on from end to end
Partner with advisors and business teams to identify high‑value problems and translate them into technical solutions
Own the product vision, priorities, and deliverables for AI innovation initiatives
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Responsibilities
Own the end-to-end Analytics/Automation roadmap, defining frameworks, experimentation standards, and high-impact product solutions
Design algorithms, build data driven applications to translate data into insights, and develop solutions for solving business problems
Apply a structured approach to facilitate problem solving, identify root causes, and guide stakeholders to make informed decisions
Defines and implements models to uncover patterns and predictions creating business value and innovation
Design and optimize data collection, transformation, and analytics pipelines to support scalable and reliable decision making