Logo Astra Zeneca GmbH

Manager Data, Artificial Intelligence & Digital Healthcare Solutions

Job

  • Level
    Experienced
  • Job Field
    Data, Product
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Hamburg
  • Working Model
    Onsite
  • Job Summary

    You develop data-driven solutions in healthcare, identify business problems, plan projects, and translate requirements into technical concepts while managing cross-functional teams and delivering presentations.

    Your role in the team

    • They create measurable business and patient benefits through data-driven decision support and digital care innovations.
    • Identification and structuring of business problems that can be solved more effectively or efficiently with analytics and AI; translation of requirements into clear features and back into compelling business narratives.
    • Planning including budget and risk management for projects or subprograms; reporting and management presentations; performance and efficiency tracking. Business case calculations.
    • Scouting and implementation of AI & Digital Health solutions, e.g., along the patient journey or for launch preparation. Translation of constraints (e.g., data availability, capacities) into technical requirements.
    • Building strong relationships with Marketing, Sales, Medical, Market Access, Payer/Governmental, and external partners; Moderation of working sessions; Single point of contact in projects.

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    Our expectations of you

    Education

    • Completed interdisciplinary degree, e.g., (Business) Informatics, Data Science, Statistics, Health Economics, Economics, or related analytical fields.

    Qualifications

    • Excellent storytelling skills, clear presentation of results to different target groups, strong business analysis and consulting competence.
    • Good knowledge, e.g., in the EU AI Act, data protection, IT security, or generally Life Sciences compliance; ability to integrate regulatory requirements into solution designs.
    • Strategic thinking, outcome orientation, structured problem solving, continuous learning.
    • Fluent in German and English, both written and spoken.

    Experience

    • In-depth knowledge of the German healthcare system including the pharmaceutical industry; experience with digital transformation in healthcare; international knowledge (EU/USA) is advantageous.
    • Confident in handling data analysis and visualization, experience with databases is an advantage.
    • Experience in lateral leadership of cross-functional and global teams in matrix projects is an advantage.

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    What we offer

    • An attractive pipeline and innovative products.
    • Individual development opportunities and a focus on lifelong learning.
    • A lot of trust, appreciation, and room for co-creation in a focused and passionate team.
    • Office spaces in the heart of Hamburg that enable collaborative, flexible, and agile working.
    • A diverse, inclusive, and bias-free work environment committed to the Charter of Diversity, which not only tolerates differences but actively promotes them, welcoming and considering applications from all qualified candidates regardless of their characteristics.
    • A sustainable company that will become CO2-negative along the entire value chain by 2030.
    • An attractive benefits package such as EGYM Wellpass, Corporate Benefits, and much more.

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    Topics You Will Work On

    Job Locations

    • Location Hamburg

      Germany

    About Your Employer

    Astra Zeneca GmbH

    Astra Zeneca GmbH

    AstraZeneca is a global, science-led biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Pharmaceutical Sector, Chemical Industry, Biotech
  • Logo Astra Zeneca GmbH

    Manager Data, Artificial Intelligence & Digital Healthcare Solutions

    Location
    Hamburg
    Working Model
    Onsite
    Diversity
    Open for all genders

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