CSL Behring
- Head of D&A Engineering
At a glance
Location: US-PA-King of Prussia Map
Posted: 09/08/2021
Closing: 10/07/2021
Degree: 4 Year Degree
Type: Full-Time
Experience: Not Specified
Job description
About CSL

With operations in 35+ nations and ~27,000 employees worldwide, CSL is driven to develop and deliver a broad range of lifesaving therapies to treat disorders such as hemophilia and primary immune deficiencies, and vaccines to prevent influenza. Our therapies are also used in cardiac surgery, organ transplantation and burn treatment.

CSL is the parent company of CSL Behring and Seqirus. CSL Behring is a global leader in the protein biotherapeutics industry, focused on bringing to market biotherapies used to treat serious and often rare conditions. CSL Behring operates CSL Plasma, one of the world's largest collectors of human plasma, which is used to create CSL’s therapies. Seqirus is one of the largest influenza vaccine companies in the world and is a transcontinental partner in pandemic preparedness and a major contributor to the prevention and control of influenza globally.

We invite you to take a look at the many career possibilities available around the globe and consider building your promising future at CSL by becoming a member of our team!

Job Description

The Head of Enterprise Data & Analytics Engineering is a critical role in our modernization and enterprise orchestration of a data-driven future for CSL Behring’s 2030 vision. The role is responsible for the stewardship of our global technology stack and for data and analytics and its future evolution and engineering for the CSL Behring enterprise across all its functional and P&L business units (BUs). The leader will be a senior leader within the Enterprise Information and Technology (I&T) organization as well as a senior member of the Information Insights and Analytics Leadership Team (IALT) with a global team of 9-10 employees and an equally diverse partner eco-system for execution and delivery of a myriad of data and analytics capabilities. 

Main Responsibilities and Accountabilities: 

Data, information & Analytics Platforms (hybrid / on-prem) DevOps 

  • Core Management of all data & analytics platforms, including capacity & demand management and planning, monitoring and alerts 

  • Responsible for the development, delivery and continuous improvement Data Platform and Data Integration DevOps (include ingestion, mapping, migration, conversion, and sources) 

  • Accountable for enabling uniformity of usage and data pipelines across the BU data and analytics delivery teams 

Data, Insight and Analytics Digital Capability Strategy 

  • Strategy for evolution of all at-scale data, insights and analytics (including AI/ML) platforms for the global enterprise 

  • Responsible for the development and execution of the Data and Analytics Technology Capability Roadmaps 

Data Management Tooling 

  • Responsible for full suite of metadata technologies and enterprise platforms for metadata management including glossary, extended metadata & lineage 

  • Develop and maintain metadata repository in addition to establishing and defining metadata architecture 

  • Accountable for additional tech stack development and management for data governance, data quality and data issue management and resolution 

Master Data Management Systems 

  • Responsible for driving master data systems strategy, planning & execution 

Data Storage  

  • Responsible for implementation and maintenance of fit-for-purpose Data Warehouses, Data Lakes, Data Meshes and Data Lakehouses, semantically linked data eco-systems (internal and external) 

Data Search Tools for the Enterprise Analytics Environment 

  • Responsible for appropriate tooling that enables enterprise data assets to be searchable including optimization of search patterns 

Data Integration 

  • Responsible for data integration DevOps and data integration pattern framework leveraging enterprise data hubs and hub-of-hubs 


Bachelor of Science in Computer Science, Management Information Systems, or equivalent 


  • 10+ years information and technology experience, including specific experience in data and analytics domain including data warehousing, lakes, data meshes, virtualization technologies, and full complement of analytics platforms and maturity from rudimentary descriptive analytics to advanced decision sciences support (ML/AI technologies included) 

  • 3+ years’ experience with cloud-based implementations of enterprise data and analytics environments 

  • Pharma/Biotech or similarly regulated environment experience desirable. 

  • Computer science/computer engineering bachelors or equivalent experience 

  • Proven track record of software product architecture, development and delivery 

  • Demonstrated ability to influence at all organizational levels through clear, concise, and impactful verbal and written communication skills. 

  • Ability to build, mentor and grow a high performing and cohesive team. 

  • Adaptable to handle a fast-paced working environment.  

  • Exceptional listener and collaborator 

Special training 

  • Ability to work across a range of countries and cultures

    Please note this is a career frame work 11 

Head of D&A Engineering