Senior Business Analyst

3 days ago


Gladsaxe, Gladsaxe Municipality, Denmark Novo Nordisk AS Full time

About Novo Nordisk

We are a global healthcare company committed to improving the lives of millions of people worldwide. Our vision is to defeat diabetes and other serious chronic diseases, and we are driven by a passion for innovation and excellence.

We pride ourselves on being a diverse and inclusive organization, employing over 63,000 talented individuals in 80 offices globally. 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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