1406 & 1407 – senior manager, commercial data products

As a Senior Manager, Commercial Data Products, your role is to act as a trusted advisor for the US & International commercial stakeholders and identify scalable Commercial data products to solve key business questions.

You will be responsible for managing the development and deployment of Commercial data products at scale and be the digital owner of the end-to-end product roadmap.

You are expected to work closely with the Digital creation centers, AIDA Commercial COEs, Data Science Industrialization & Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization.

As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products.

ROLE RESPONSIBILITIES

• Product manager for assigned Commercial data products
• Process owners for scaling, enhancement and industrialization of Commercial data products
• Lead product roadmap creation, development & deployment for key strategic Commercial data products
• Provide digital interface and support for enterprise transformation initiatives supported by Commercial data products
• Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers & CoEs
• Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway

BASIC QUALIFICATIONS

• Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
• 7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects
• 2+ years’ experience in application of Data/AI/ML in pharma/healthcare commercial organizations
• Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority
• Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches
• Strong English communication skills (written & verbal)

PREFERRED QUALIFICATIONS

• Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
• Hand-on experience in at least one data/analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku)
• Hand-on experience in developing data or AI/ML products for pharma commercial applications
• Product management background in healthcare analytics/technology
• Understanding of pharma commercial data landscape

Please apply by sending your CV and a motivational letter in English.