Manager, Data Solutions Engineering

Category:  Information Technology & Telecom

Søborg, Capital Region of Denmark, DK


Are you an inspiring leader and experienced practitioner in scaling up AI-powered software in the cloud? Could you see yourself building our next-generation solutions drawing from a multitude of data modalities, with impactful use cases in healthcare, while fostering the growth of a talented team?

Uncover the opportunities awaiting you as a Data Solutions Engineering Manager within Novo Nordisk Data Science. Our dynamic team of scientists and engineers not only discover new therapies and technologies, but also lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease.
Apply today and join us for a life-changing career!

The Position
Recognized as a key leader in Novo Nordisk's Data Engineering efforts, as our Manager of Data Solutions Engineering, you will drive activities in supporting multiple AI and Analytics research teams. These responsibilities will include bringing elements of appropriate data architecture and engineering to develop custom data solutions for various analytical projects across a multitude of different data modalities, including real world data, imaging, omics, devices and more. 
You are experienced in AI/ML systems, tools, approaches, and technologies for a variety of applications and datasets, including cloud engineering, software engineering, and agile development practices. The Data Solutions Engineering Manager acts independently as a leader, framing and driving innovation and project initiatives, aligned with the leading Director of AI Tech Ops and collaborating closely with other peer leaders.  

You will lead a team of individuals to deliver on a portfolio of projects across multiple therapeutic areas and data modalities covering multiple drugs across all phases of development. These projects will deliver custom data solutions leveraging and integrating data from a multitude of internal systems, data stores, data lakes and platforms. Leveraging your domain knowledge in data engineering and algorithm development, as well as potential prior leadership experience, you will ensure that your team is developing and delivering solutions representing the latest state of the art in data engineering.

In addition to guiding the team in the development of efforts which have a global impact on Novo Nordisk's efforts in this area, you will be responsible for recruiting and other leadership activities. Furthermore, you will actively coach more junior colleagues in both professional development and project execution, setting technical direction and influencing the progression of initiatives across team boundaries. 

You hold an MSc or PhD within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline, with a few years of relevant experience or a minimum of BSc degree with several years’ relevant experience can be considered.

Relevant experience includes:

  • Building data warehousing solutions, integrating services, and building ETL pipelines for various data science and business needs.
  • Gathering/organizing large & complex data assets, recommend appropriate data models for different needs and implementing systems for data ETL, audit, QC, governance, and optimized consumption.
  • Ensuring high availability, scalability, latency, governance, reusability, consistent and security in implemented systems.
  • Partnering with business owners, data scientist, engineering, and IT understand business needs, translate into technical specification, and prioritize implementation plan.
  • Ensuring the quality of the data in coordination with data analysts, data scientists and business partners (peer validation).
  • Building and operationalizing complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Experience developing and deploying ML solutions in cloud environments such as AWS, Azure, or Google Cloud.
  • Track record mentoring and/or building a team of engineers.
  • Background working with data science teams with conceptual knowledge on data science project lifecycles and techniques.


Preferred experience in:

  • Pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.
  • SQL, DynamoDB, RedShift, EFS, EMR, EBS, ElastiCache and other relational/non-relational database technologies/concepts.
  • AWS data-related services such as Storage Gateway, CloudWatch, Glue, Athena, S3, Lambda, Data Pipeline, Data Migration, Step functions.
  • CI/CD, basic ETL practices such profiling, cleansing, transforming, developing and documenting data structures, schemas and dictionaries.
  • Scripting languages (Python, R).
  • Working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus.


As a person you ensure a healthy, engaging, and inclusive work environment. You are capable of building trust and relationships across functions and cultures. You demonstrate agility and adapt quickly to changes.

We are open to hiring at different levels of seniority.

About the Department
The AI and Analytics team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology, helping each other grow, driven by the opportunity to make a difference in people’s lives.

Working at Novo Nordisk
At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.

To learn more about the role, reach out to Zeljko Agic, Director AI Tech Ops, at 

10 October 2023

Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.

You do not need to attach a cover letter to your application, but please include a few lines about your motivation in your resume or CV. Please assist us in maintaining a fair and inclusive selection process by not attaching a photo to your application.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 


At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.