AI-Driven Competitive Insights Director (Maternity Cover)

Cari

Søborg

Remote

DKK 847,000 - 1,245,000

Full time

6 days ago
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Job summary

Novo Nordisk is seeking a driven AI-enabled insights lead for a 1-year maternity cover within Strategic Insights. You will identify and deliver AI use cases to sharpen how we generate and share insights on diabetes, obesity, liver and cardiovascular disease, collaborating with the PSIA organization on AI capabilities.

You will translate complex data into clear recommendations for decisions at project, product and portfolio levels, present to senior management, and help scale AI practices across

Qualifications

  • MSc in Business, Medicine or Life/Pharmaceutical Sciences.
  • Experience in similar AI/insights roles.
  • Experience in pharmaceutical or FMCG industries preferred.
  • Hands-on experience using AI tools in business or analytics settings.

Responsibilities

  • Drive AI initiatives within Strategic Insights from ideation to delivery.
  • Deliver tools and working methods that teams adopt with data/technical colleagues.
  • Collaborate with PSIA to build AI capabilities and align priorities.
  • Translate insights on diabetes, obesity, liver and CV disease into clear recommendations for decisions at project/product/portfolio level.
  • Communicate complex findings to senior management and diverse audiences.
  • Encourage collaboration and knowledge sharing so AI practices spread across teams.

Skills

AI in insights
Business-IT bridging
Analytical thinking
Clear communication
Senior stakeholder communication

Education

M.Sc. in Business, Medicine or Life/Pharmaceutical Sciences

Job description

Novo Nordisk is seeking a driven AI-enabled insights lead for a 1-year maternity cover within Strategic Insights. You will identify and deliver AI use cases to sharpen how we generate and share insights on diabetes, obesity, liver and cardiovascular disease, collaborating with the PSIA organization on AI capabilities.

You will translate complex data into clear recommendations for decisions at project, product and portfolio levels, present to senior management, and help scale AI practices across

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