Lead data science initiatives to solve complex business problems using AI, ML, and statistical methods.
Locations (2)
Ljubljana, Slovenia, Slovenia
Barcelona, Catalonia, Spain
Compensation
€67,130.00 - €124,670.00
Responsibilities
Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
Associate Director, Data Science & Artificial Intelligence
The salary range for the primary location of this role is: $87,300.00 - $137,400.00. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
Responsibilities
Partner with business partners and scientists to understand operational pain points, uncover high-value opportunities, and translate ambiguous needs into technical user stories.
Own and prioritize your product’s backlog and organize it for regular deliveries.
Author clear requirements, acceptance criteria, and value capture plans to ensure that technical teams and business stakeholders share a unified definition of success.
Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
Connect with users - demo features, lead user enablement sessions, gather structured feedback, and measure adoption metrics to drive continuous product refinement.
Understand our partners’ structured and unstructured data and how it can be used to address their needs.
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