Manager, Data Solutions Engineering

2 weeks ago

London, United Kingdom Novo Nordisk AS Full time

The Position

Recognized as a key expert 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 freely as a leader, framing and driving innovation and project initiatives, aligned with the Director of AI Tech Ops and collaborating closely with other peer leaders. You will guide 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.

Qualifications

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:

  1. Building data warehousing solutions, integrating services, and building ETL pipelines for various data science and business needs.
  2. 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.
  3. Ensuring high availability, scalability, latency, governance, reusability, consistent and security in implemented systems.
  4. Partnering with business owners, data scientist, engineering, and IT understand business needs, translate into technical specification, and prioritize implementation plan.
  5. Ensuring the quality of the data in coordination with data analysts, data scientists and business partners (peer validation).
  6. Building and operationalizing complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  7. Experience developing and deploying ML solutions in cloud environments such as AWS, Azure, or Google Cloud.
  8. Experience mentoring and/or building a team of engineers.
  9. Experience working with data science teams with conceptual knowledge on data science project lifecycles and techniques.

Preferred experience includes:

  • Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.
  • Experience with SQL, DynamoDB, RedShift, EFS, EMR, EBS, ElastiCache and other relational/non-relational database technologies/concepts.
  • Experience with AWS data-related services such as Storage Gateway, CloudWatch, Glue, Athena, S3, Lambda, Data Pipeline, Data Migration, Step functions.
  • Experience with CI/CD, basic ETL practices such profiling, cleansing, transforming, developing and documenting data structures, schemas and dictionaries.
  • Working knowledge of scripting languages (Python, R).
  • Experience 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 have good interpersonal skills and 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 data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration, support and trust 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.

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