Data & AI Engagement Manager

3 days ago


Gladsaxe, Gladsaxe Municipality, Denmark Novo Nordisk AS Full time

About Us

At Novo Nordisk, we are a global healthcare company with a vision to defeat diabetes and other serious chronic diseases. For over 100 years, we have been driving change to improve the lives of millions of people worldwide.

We pride ourselves on being a diverse and inclusive organization, employing more than 63,000 talented individuals in 80 offices across the globe. Our purpose-driven culture values professional and personal development, offering numerous opportunities for growth and advancement.

The Role

We are seeking an experienced Data & AI Engagement Lead to join our Commercial Data & AI Strategy team in Digital, Data & IT (DD&IT). This pivotal role will partner with global commercial functions to translate complex business problems into data and AI-driven solutions.

Main Responsibilities

  • Act as primary partner to the business lead, pressure-testing and refining business problems into actionable data and AI-driven projects
  • Translate business requirements into technical solutions, ensuring alignment with the company's strategic goals
  • Map and staff the appropriate mix of technical capabilities for project execution, tailored to the specific needs of each project
  • Manage the end-to-end development lifecycle of data and AI projects, maintaining deep involvement in technology choices, architecture decisions, and roadmap planning
  • Operate across one or multiple projects within commercial sectors, adapting approach and team composition based on the project type and seniority level
  • Stay updated on industry trends and advancements in data, AI, and technology to continually enhance project outcomes
  • Ensure partnership and effective collaboration across multiple DD&IT functions and commercial units in Novo Nordisk

Requirements

  • Extensive experience in data and AI solutions development, with a strong background in project execution, data and AI-preferable in a commercial context
  • Proven ability to harvest value of data and AI in business use-cases, and managing complex projects from ideation phase to production
  • Experience from consulting and/or pharma is a benefit, but not a requirement
  • Advanced knowledge of machine learning and data modeling techniques (advanced coding skills is not expected in this role)
  • Strong functional leadership skills with experience in staffing and leading technical teams
  • Experience working in a matrix organization and effectively collaborating across different functions


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