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Data Asset Management Director

AstraZeneca
Job LocationCambridge
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Data Asset Management Director – R&D Data OfficeLocation(s) - Cambridge (UK); Gothenburg (Sweden); Gaithersburg (USA) – PermanentSalary - Competitive salary and company benefitsWould you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group who has direct strategic impact on drug development, playing a key role in getting medicines to patientsAt AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the chance to create a difference in people’s lives every single day.AstraZeneca is investing heavily in data management and analysis capabilities, through its long-term Growth Through Innovation Strategy. The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

  • Improve our understanding of disease and uncovering new targets
  • Transform R&D processes
  • Speed the design and delivery of new medicines for patients
    • The R&D Data Office, within DS&AI, is a key organisation to deliver upon AstraZeneca’s strategy. Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science. Data Office will govern data, drive data quality and ensure our data is readied for analytics, crafting paved-paths for scientists to perform research driven by data, without compromising our legal restrictions or ethical principles.Sustainable, FAIR (Findable, Accessible, Interoperable & Reusable) data is the lifeblood of AstraZeneca as a science-led, pure-play pharmaceutical company and critical for the delivery of AstraZeneca’s corporate strategy, in which Data, AI and Digital is a foundational value driver for Innovative Science and a potential corporate differentiator.In this role you will be accountable for designing processes for the onboarding, cataloguing, & management of data assets, systems, and processes that drive the process of making data FAIR.Typical Accountabilities
  • Analyze current-state information related to data assets gathered by the Data Discovery team
  • Provide Stewardship of data assets to inform the data use and analytic processes.
    • Design and implement optimal processes and specifications for:
  • on-boarding of data / meta-data into a centralized data repository
  • cataloguing of data assets that are ingested into a central repository
  • systematic tagging of data from ethical & legal review process
  • data asset management including optimal data and data standards refresh schedules
  • workflow management to ensure access to the right data assets and versions
  • automation to enable operational scale-up.
    • Collaborate with:
  • IT partners for the implementation of data / meta-data on-boarding, and cataloguing activities including the development of minimum meta-data models for each data asset type, automation of implementation processes
  • Data Provisioning / Science Data Foundation / Data Strategy & Value teams to understand demand for data / meta-data on-boarding and management and plan and implement data asset management activities in consultation with the Head of Scientific Data Assets
  • Data Policy & Data Governance teams to ensure policy and governance needs are planned for and complied with.
    • Additionally:
  • Inform the decision-making process for data vs. meta-data ingestion to a centralized repository
  • Develop, own, and continuously improve, clear processes to manage data assets and make scientific data FAIR and AI/Analytics-ready, so that data value grows over time. Secure value measurability, and scalability for changes in scope and demand
  • Collaborate with other members of the Data Asset team, Data Office functional units, & the DS & AI community to aid the Data FAIRification process
  • Line-manage a team of Data Asset management professionals and create a stimulating, inspiring and rewarding environment that allows them to make a meaningful difference, grow their capability and add more value, and develop their careers in a variety of directions.
    • Education, skills and experience required
  • Relevant degree in Information/Data Science, Computer Science, Informatics, IT, or other related subject area
  • Experience in the pharma and the life sciences sector
  • Extensive experience in data asset stewardship & management
  • In-depth experience and operational understanding of data repositories, ETL processes, data management principles, common data models, data standards, and analytic tools
  • Experience designing, programming, testing, or supporting software development and integrations
  • Extensive experience working with IT partners in the implementation of data asset management projects
  • Ability to learn new tools and technologies
  • Experience in creating system and user documentation.
  • Travel – willingness and ability to travel domestically & internationally.
  • Resilience – ability to overcome and motivate others in the face of a changing environment.
    • Next Steps – Apply today!AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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