Accountable for the development, support, and evolution of analytic and data supply chain capabilities in partnership with IT Business Partners and analytic teams in Biometrics and Data Science supporting capabilities across Global Drug Development (GDD). Partners with multiple IT development teams to ensure adherence to information, data, security, and solution architecture principles, guidelines, standards, and best practices. Drives implementation of and adherence to data governance and/or data use policies in partnership with business owners and data custodians.
Accountable for delivery and support of strategically and/or tactically aligned analytic and/or data solutions in support of GDD business needs.
Accountable to establish, maintain, and drive relationship(s) with IT Business Partners and Biometrics and Data Science leaders and analytic teams.
Facilitates development of analytic and data capability strategic roadmaps across analytic delivery teams, information architecture teams, and IT solution delivery teams.
Accountable for development of business case and/or investment justifications, where necessary and appropriate.
Accountable for creation and maintenance of data acquisition/operational focused capabilities including: Data Catalog; Business Glossary; User Access Request/Tracking; Data Use Request/Tracking; Enforcement of Data Governance/Data Use Policies.
7+ years’ experience in an information technology related field within the life sciences industry delivering and supporting analytic / data science solutions, master data management solutions, or other data management related discipline.
Demonstrated subject matter expertise in one or more life science data domains including biostatistics, data science and / or clinical.
Knowledge and experience with R&D data types and data flows for integrated analytics, and associated rapid delivery technologies.
Proven ability to lead complex matrixed teams and work in a highly-matrixed environment.
Proven ability to manage large teams with either direct report relationships and/or contractor/partner relationships.
Ideal Candidates Would Also Have:
Experience deploying or supporting analytic or other data management capabilities in a cloud-based and on-premise environment.
Knowledge and experience designing, developing and implementing biostatistics, data science, modeling & simulation and / or advanced analytics solutions within the life sciences R&D data domains.
Experience working internationally and with a globally dispersed, life science data team.
Pragmatic about the tradeoffs between features, quality and timeliness for both tactical and strategic solutions.
Possess the willingness to diversify skills and champion new innovations and solutions.
Minimum of a Bachelor’s degree in Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering or related field. Masters or PhD preferred or equivalent experience is required.
Demonstrated experience in thoughtful inter-personal communications, change agility, and cross-functional partner relationships.