South San Francisco, California, United States of America / Basel, Basel-City, Switzerland
Type
Full Time
Responsibilities:
Lead the development of sustainable and pragmatic data centric solutions to help business and informatics colleagues create, manage and consume data more effectively.
Develop Roche data domains and associated data architecture.
Develop robust and industry-aligned metadata definitions for our growing data sets, ensuring quality rules are in place from the outset.
Embed accountabilities for Roche data, and supporting owners, stewards and custodians to ensure that data governance structures operate effectively.
Support colleagues to adopt FAIR principles (Findable, Accessible, Interoperable, Reusable) to guide the development of our data, helping to maximise the value that can be gained by the business.
Identify and share opportunities to re-use existing data between teams across Roche.
Engage with stakeholders across Pharma Development, including senior leaders and subject matter experts, to monitor data quality, highlighting issues and leading teams to formulate appropriate solutions.
Perform root cause analyses of high priority problems, formulating solutions and initiating actions to remediate
Lead assessments of industry leading tools and providing guidance to the business to gain insights and better value from existing data.
Educate and publicise data governance concepts and policies through presentations, intranet sites, and other internal communications channels.
Requirements & Skills:
Bachelor’s degree or higher or equivalent education in a scientific or relevant technical discipline.
Demonstrable experience working in a data office, data governance, or data management role.
Strong knowledge of data management and data governance principles.
Experience in data quality definition, monitoring,g, and remediation.
Experience establishing and data management and data governance frameworks (eg DAMA Body of Knowledge), and data stewardship initiatives.
Experience implementing data governance tools, data dictionaries, data catalogues (eg Collibra).
Knowledge of Information Management, Data Modelling, Data Analytics and Reporting.
Knowledge of the pharmaceutical industry and an understanding of the end-to-end drug development lifecycle.
Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile mindset, behaviors, and methodologies.
Good change management skills.
Conceptual and strategic thinker.
Knowledge of GMP, GCP, international regulations, guidelines, and their application, and all other applicable compliance standards is a plus.
