Come join us as we supercharge GSK’s data capability! 

At GSK we are building a best-in-class data and prediction powered team that is ambitious for patients. As R&D enters a new era of data driven science, we are building a data engineering capability to ensure we have high quality data captured with context and aligned data models, so that the data is useable and reusable for a variety of use cases.  

GSK R&D and Digital and Tech’s collective goal is to deliver business impact, including the acceleration of the discovery and development of medicines and vaccines to patients.  GSK Development and Development Digital & Tech are in the final stages of delivering on a multiyear investment aimed at modernizing the clinical development landscape.  In order to ensure we maximize the value of the data we generate using these new systems in combination with the data assets we acquire externally, new teams in both the R&D Development and Development Digital & Tech organizations are being established to focus on the governance and design.

The Data & Analytics Principal Service Analyst is accountable for managing the data products involving the Data Fabric. To effectively enable data and analytics the Principal Service Analyst must demonstrate both depth and breadth of knowledge across the landscape of tools and processes targeting the movement, processing, storage, governance and use of data products on the Development Data Fabric.  This role will work closely with data consumers and product owners to ensure a positive user experience and maximize the value and utility of the products in his/her scope.

Key responsibilities:

• Partner with Product Owners in the business and tech to understand the processes and personas enabled by the products in scope as a means of designing a fit for purpose service level agreement and corresponding support model. 

• Maintain awareness of emerging technology in the market and technical industry trends related to the product space and uses the knowledge to contribute to product strategy.

• Monitor system health, track performance metrics, and provide actionable insights for continuous improvement

• Serve as point of contact for service operations performance and support advice/expertise for Product Directors

• Collaborate with business and tech product owner in identifying issues and opportunities to inform the product roadmap

• Align with engineering leads to provide technical leadership and direction to DevOps teams responsible for updates and enhancements to the product.

• Manage 3rd party extended teams

• Understand product dependencies and establish network to manage these dependencies when they are outside the scope of the service (this includes but is not limited to engagements with Tech Ops and Global Platforms & Technology teams where required) 

• Partner with product owners to review triage and prioritize product backlog

Why You?

Basic Qualifications: 

We are looking for professionals with these required skills to achieve our goals:

• BE or MS degree in Computer Science or Information Technology. 

• 6+ years of experience working in a product-oriented cross-functional squads in Maintenance & Support of Data Products, Cloud services and Data Management

• 3+ years of hands-on experience on Azure data analytics stack: Azure Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Power BI, PowerApps, AKS, etc.

• Experience on the front-end technologies Angular/React JS, Search and Indexing tools such as Sinequa, Solr, ELK stack, etc.

• Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.

• Experience in Python, Containerization technologies such as Docker/Kubernetes on Azure

• Experience with Azure cloud services and components to support a scalable, reliable, and sustainable data analytics solution.

• Experience on ITIL, Regulatory GXP Standards, Access management etc. 

Preferred Qualifications: 

• Master’s or PhD in computer science, engineering or similar discipline

• Experience managing data generated/consuming by Development teams e.g. clinical operations, biostats, safety, regulatory.

• An ideal candidate would have a hands-on work history in an advanced, recognized, and innovative environment.

• Key knowledge of architecture and deployment patterns, designing an end-to-end support model with economies of scale in mind, Capacity management, Mentoring the third-party vendors to make sure support needs are met.