Director​ - Data Architecture

Site Name: Stevenage, Poznan, Siena, Upper Providence, Wavre Posted Date: Nov 23 2022 Director - Data Architecture GSK R&D and Digital and Tech’s collective goal is to deliver business impact, including the acceleration the discovery and development of medicines and vaccines to patients. The R&D Digital and Tech remit has expanded over the past 2 years, and to position GSK for the future, the significantly expanded leadership role is required on the R&D Digital and Tech Leadership team. The change will strengthen the R&D Tech LT, to provide more strategic impact, focus, accountability, and improved decision making in the use of Digital, Data and Analytics (DDA) to strengthen the pipeline. As R&D enters a new era of data driven science, there is a need to create capability to ensure that R&D 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. These range from data driven decision making, through to data sciences and AI/ML capability to enable data driven science. As a result, it is essential that Digital & Tech can surface the data from operational systems into a harmonised storage layer and controlled presentation data fabrics and mesh. To do this there is a need to build out a Data Engineering capability that can build the required architecture, data strategy and implement an engineering approach. And a leader is required to build this capability within the Scientific Data & Tech organisation in R&D Digital & Tech, and then industrialise the approaches and practises around Data architecture and delivery. GSK is one of the world’s foremost pharmaceutical and vaccines companies and we are proud to be leading a healthcare revolution.  R&D plays a critical role in the GSK strategy to get ahead of disease with a strong portfolio of commercially launched products in Vaccines, Specialty Biologics, Respiratory and HIV, and General Medicines. The R&D network comprises 5 key R&D hubs, and several smaller sites, spanning Europe and the USA, supporting over 8000 GSK scientists and third-party suppliers. Additionally, R&D has an exciting portfolio of new therapies in development with significant commercial launches planned over the next 5 years. Data and Analytics allows us to integrate, simplify and unlock insights using all our data to drive innovation, decision-making, and enable our transformation in service of our patients, healthcare professionals and consumers, as R&D moved into a new era of Data Driven Science. The Data Engineering Director - Data Architecture will lead significant expansion into data as an asset, which GSK is driving to be best in class, to unlock data to insight to meet the exponential scale of data production and rapid insight creation required by Research, Medicine Development and Supply and Vaccines R&D objectives. The primary accountability and responsibility of the Data Engineering Director - Data Architecture is to build and lead an organization responsible for enterprise data architecture, providing thought leadership and architecture design for all aspects of data across the Scientific area from early research through to clinical manufacture and supply, ensuring that the architecture and models are compliant with our partner organisations like supply chain, Onyx and Development. This includes implementation of the data architecture onto, and augmentation of, the two GSK data platform for CMC and Research needs, design and creation of pipelines to consolidate data to a known standard and quality from our operational systems, design and creation of data services and data fabrics for the harmonised surfacing of data, to support advanced analytics, data visualizations, master data management, knowledge engineering, real world data, data acquisition, integration, machine learning and AI/ML. This role will build and contribute to target architectures, and build and maintain technical standards and data management approaches in a cloud-native ecosystem that enable maximum benefit to be obtained by data and analytics capabilities. In doing so, ensure that these are aligned across both the R&D and Digital & Tech strategies. The role will define, create, and drive the adaption of standards and data architecture to ensure all aspects of data provisioning, harmonisation and utilisation delivers value in alignment with business objectives. The Data Engineering Director - Data Architecture brings a distinct and deep knowledge about the highly complex, heterogeneous world of science and how data architecture plays a significant role to support Science, Data and Analytics, where multiple distinct specialties need to combine. Consequently, deep knowledge of the distinct data types applicable to CMC, laboratories and Research and ontological standards (e.g. from SEND safety format to S88 manufacturing standards) are critical to shaping effective delivery for the associated data engineering organisation. The leader will leverage this knowledge to test and ensure the data architecture strategy is designed and implemented robustly, ensuring that there is a rapid scale-up of data engineering output based on the architecture to bring in complementary expertise in data architecture skills from outside of scientific research or the pharmaceutical industry. R&D is a highly complex and regulated environment and therefore the leader would need to have deep knowledge of the applicable business area to be successful in this role. And through all these processes this leader would work with colleagues in Scientific Digital and Tech, Development, and Global to supply chain to ensure the data flows within an aligned data architecture and data models between the environments in a seamless manner. Key Responsibilities Establish, prioritize, and maintain the overall Scientific Data & Tech Data Architecture strategy and approach in alignment, co-creation, and on-going partnership with our key stakeholders in Onyx, Development and Global Supply Chain. Build and lead an organization responsible for enterprise data architecture, providing thought leadership and architecture services for all aspects of data, including data platforms, data pipelines and fabrics, data ontologies, data quality, master data management, and all other elements of the data environment. Recruit the relevant team members to build out the scientific Data & Tech Data architecture capability. Accountable for R&D D&A cloud, infrastructure, platforms and security architecture, providing thought leadership and data architecture services for all aspects Research and CMC. Build, maintain and govern the execution of the enterprise ontologies, emerging industry tech radar and trends, architecture principles, standards, and tools. Develop modern data architectural approaches that encourage value exchange with partners and customers partner collaboration. Coordinate analysis of leading and emerging technology and market trends to determine their impact and opportunities for the R&D Data architecture with focus on Digital capabilities and innovations to enable GSK’s business strategy. Oversee and guide Data architecture practices and delivery in cross functional strategies and efforts. Perform an involved advisory role on complex cross-functional initiatives. Cultivate technical expertise and champion and enable learning, adoption, reskill and reuse across Scientific Data and Tech to support Data at scale. Lead data standardisation and harmonisation practices to drive effective interconnectivity within GSK and across broader healthcare ecosystem. Maintain R&D Digital & Techs Data strategy, including architecture of current integration technologies, as well as exploration and adoption of emerging technologies to support the ongoing strategic intent of the R&D organisation, aligned with Supply Chain colleagues. Adopt a security-first design that embeds robust authentication, hardened infrastructure and resilient connectivity across the Data and data platform environments. Take a Development first mindset to continuously challenge and support the team to stay educated and relevant in the ever-changing technical environment. Experience requirements 5+ years of technical experience 5+ years in Cloud Analytics/Platform experience (e.g. AWS, GCP, Azure)- specific to owning and enabling capabilities within an enterprise data ecosystem including end to end Data Management practices (Data, Visual BI, Stats, AI/ML, Cognitive, NLP, Search) Comprehensive understanding of Industry 4.0, Cloud Purdue Model, S88 / S95 Models including IoT, Streaming Analytics and Digital Twins Strong business acumen, knowledge of Pharma and life sciences, and ability to stay abreast and incorporate innovative and existing technologies Expertise in data and analytics, with experience leading data and analytics delivery, strategy or architecture efforts Experience leading technology, infra or security organizations, expertise in transformation to cloud. Exceptional strategic thought partner, ability to lead in strong co-creation and collaboration with Digital and business partners across GSK. Demonstrated ability to bring creative ideas and drive digital innovation, leading with the customer in mind; has exceptional judgement about which innovations to pursue; able project how potential ideas may play out in the marketplace. Experience across multiple architecture environments including ERP systems (e.g., SAP), MES, Historians, customer facing technologies (e.g., Salesforce.com), and other enterprise technologies and platforms. Demonstrated ability to develop talent and build effective teams. Excellent communication skills and the ability to indirectly influence key partners and stakeholders. Minimum Level of Education Required Bachelor’s degree in a relevant discipline and 8+ years of pharmaceutical, healthcare or other relevant experience, advanced degree preferred
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