GSK R&D’s Manager-Business Data Analyst manages millions of Project Master Data records. As part of the ecosystem, this data is shared to stakeholders through the data fabric and various reports. The primary purpose of this job is to analyze, define & govern the centralized Project Master Data. The success of the role is measured by the degree of data consumption, data availability and quality for any downstream processes, but also by the availability of the legacy data as per the agreed timelines.
This effort requires skilled resources to assist, encode & review data, but also own various tasks & maintain the central MDM business & system architecture going forward at steady state/business as usual. Focusing on stewardship activities, this role is accountable to provide a transversal oversight of the data across all the streams of the Program and to ensure continued maintenance & further roll-out as global health authorities adopt new data requirements.
The role will support the mastering of Project structured data as close to source as possible by leveraging the data standards. This role will help to generate quality insights leveraging on a mix of structured & unstructured data across both internal & external systems (Databases).
Key Responsibilities:
Review the demand intake for codification of new Projects to evaluate their adequacy and fit for R&D, Commercial, regulators, and beyond; so that we can act as a safeguard for GSK, ensure adequate and data quality. Define Orchestration Strategy and codification process by engaging the relevant experts (Development, Legal, Regulatory, PPM, Development lead, Clinical, etc…), securing the adequate information, coding the central piece, and ensuring the data are validated and signed by all function as the new master data to be used Contribute to the establishment, & the roll-out of the R&D (Master) Data and Analytics strategy. This includes the contribution to the development, maintenance, and enhancement of the enterprise solutions for the management of the R&D data including the Master Data strategy. Analyze data in our company's production and analytical systems and helping us understand data structures and how these data structures currently support existing business processes that either create these data sets or are based on these data sets. Assist Master Data Management (MDM) team in identifying the trusted sources of data and the right type of data that can connect or supplement existing central MDM and Reference Data Management (RDM) solutions and benefit its consumers. Based on your findings you will help us enhance current global MDM and RDM systems with datasets best fitted to support global business processes, provide insights into what is the best way to connect these data sets together and what is required for keeping the quality of the data by designing effective data stewardship processes. Enable MDM Tech teams in building the right global MDM and RDM solutions, enable central reusable hierarchical data structures and develop strategic system integrations to have enhanced and insightful master and reference data for our users. Support the Development & maintenance of a data governance framework ensuring data harmonization & data quality. Support GSK representation in industry & regulators activities dedicated to Master Data Management & Standardization topics. Ensure the analysis & monitoring of the deviations in the remits of the group and ensure collaborative work has been done to identify enhancement opportunities; and prioritize them. Define clear user stories, enabler stories and acceptance criteria for the MDM Project Domain Maintain business process, data flows and functional lineage for the project data to support growth of projects over time
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
Bachelor’s degree in computer science, Economics, Finance, Life Science, Software Engineering, Math, Bioinformatics or related discipline 7+ years of experience in data management, data governance or related roles within the pharmaceutical or healthcare industry 5+ years experience in Data governance, data management and analytics with software experience (ie. MDM, SQL etc)
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
Demonstrates capability to proactively identify and resolves data quality issues with minimal oversight Expertise in MDM technologies, data management and governance tools, and methodologies such as Informatica MDM, Reltio, Collibra Certifications in MDM, data governance, or related areas are advantageous Experience working in Agile project delivery Excellent communication skills including the ability to collaborate with both technical and business colleagues Biopharm R&D product development domain experience Business process analysis design and oversight
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