Team Manager, Big Data Solutions
Merck Sharp & Dohme Corp.
Prague, Czech Republic
před 63 dny


MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products.

The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-

year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

MSD’s Information Technology division partners with colleagues across the business to help serve our patients and customers around the world.

Ours is a high-energy team of dynamic, innovative individuals dedicated to advancing MSD’s contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity.

MANTIS is an analytical platform that supports our Manufacturing Division in transcending existing limitations and allowing users to work with data available in our company across the whole globe.

The aim of the platform is to gather data from all the data sources that are affecting manufacturing (be it internal sources from manufacturing sites or from our external partners) and provide capabilities for users to explore the data, perform analysis, create dashboards and much more.

These highly sought after capabilities allow our users to ensure that the manufacturing across the globe works smoothly and that our drugs are delivered to those in need on time.

The product consists is built by using various technologies and tools, to name a few : ETL tools (Sqoop, Informatica), Scheduler (PDC), Hadoop Cluster, Teradata, Abstract.

As a Team Manager you will

  • Lead a team in building applications that helps our scientists, researchers or data scientists understand the data related to drug research, manufacturing or sales.
  • You and your team will work on

  • finding the best solutions to various business and technical problems by conducting Proof of Concepts with clearly defined metrics for evaluation
  • Industrializing the best PoCs
  • Clearly define KPIs for the team and the product
  • Organize and facilitate team process to foster efficient delivery in an agile or waterfall manner
  • Build, nurture and ensure technical excellence and high quality of the product.
  • Sponsor innovation in solving problems
  • Guide the team according to out policies and finding how to improve them to speed up the delivery to business
  • Be responsible for the delivery of the team to our business partners
  • Design and implement various layers of our product, including ingest pipelines, data modelling, data warehousing, hadoop features and business intelligence
  • Document how the product is developed and ensure that we abide by the Good Manufacturing Practices
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