Principal Product Designer

**Site Name**: Bengaluru Luxor North Tower
**Posted Date**: Sep 19 2024
**Job purpose**:
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. 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 Principal Product Designer contributes significantly to the mission to supercharge our data and is responsible for ensuring data domains and products are defined and delivered with findability, accessibility, interoperability supportability, usability and quality in mind. As a Principal Product Designer, you will guide the information architecture, data standards, and quality of the data products on the Development Data Fabric in alignment with the data mesh architectural plan.

**Key responsibilities**:

- ** Strategy** - Work with peers and colleagues in Development Digital and Tech to define a framework for consistently and efficiently define metadata standards, data models, data dictionaries, business and technical metadata and requirements for moving processing protecting and using data/metadata within the Development Data Fabric. Actively seek out opportunities to refine this framework and automate the creation/maintenance of information and artefacts. Keep abreast of emerging trends in data management technologies and integrated them into the target designs where appropriate.
- ** Analysis** - Understand the systems and processes in Pharma R&D where data/metadata is generated, used and reused to enable operations, inform decisions and drive scientific innovations. Reverse engineer analytical use cases into data flows, target data models and data processing requirements. Partner with data product owners in the business and tech teams to document data quality checks and access management requirements. Partner with data quality and governance product owners to surface opportunities to leverage reference data, master data and/or ontology management platforms to drive standardization and interoperability.
- ** Lifecycle Management** - Support the product and engineering teams during design and build by liaising with the business and technical team to answer key questions and deliver pertinent information. Partner with data stewards and technical support teams during use to investigate data/metadata quality and lineage issues. Enable the drive towards and adaptive and automated approaches to data/metadata governance and data/metadata management.

**Required Qualifications**:

- We are looking for professionals with these required skills to achieve our goals:_
- Bachelor’s degree in computer science, engineering, or similar discipline
- 10 to 12 years of Overall experience
- 5+ years relevant clinical experience and / or exposure to enterprise architecture in an IT organization
- Experience eliciting and documenting user requirements for data and analytics products.
- Excellent relationship management, strong influencing, and communication skills at senior level.
- ** Experience in data management including defining metadata standards, metadata management & (meta)data governance.**
- Proficient with data modelling and data flow diagrams in tools such as Erwin, ER studio or Visio and data quality/profiling tools
- Experience modelling databases e.g. Graph database (Neoj), Snowflake, Synapse, non-relational databases.
- Experience with Pharma R&D information standards (CDISC, BRIDG, SHARE, ODM, OMAP, FHYR) and data protection obligations.
- Track record in delivering business impact through data and analytics enabled solutions.
- Experience with Agile and DevOps

**Preferred Qualifications**:

- If you have the following characteristics, it would be a plus:_
- Masters or PhD in computer science, engineering or similar discipline
- Experience constructing a data fabric or similar architecture
- Understanding of where emerging technologies can drive automation in the creation and management of data products
- Experience in Master/reference data
- Design and architecture of BI and analytic environments
- Experience in building Graph based metadata repositories or data catalog tools

**Why GSK?**

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