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Job Description

Job Title: R&D Data Management and Governance Leader

Location: Cambridge, MA

About the role:

As an R&D Data Management and Governance Leader, you will lead the implementation and management of a data and data systems governance strategy according to R&D and enterprise stakeholders, redefining raw data into relevant insights, helping the organization make informed decisions, optimize performance and achieve overall data strategy (to ensure compliance to company and regulatory requirements). You will lead or provide quality expertise to complex and large-scale data projects to organize, collect and standardize data to support business-critical data analytics to lead insights and serve as a foundation to reporting needs. You will lead or provide Quality expertise to latest data programs that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems and processes, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly ensure inspiring technologies for insight derivation (to ensure company programs will remain compliant with regulatory expectations). You will report to the Head of Data & Digital R&D Quality.

How you will contribute:

• Be a leader of the RDQ data program that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly allow inspiring technologies for insight derivation.

• Provide leadership to develop complex and large-scale data structures to organize, collect and standardize data to support business-critical data analytics to drive insights and serve as a foundation to reporting needs.

• Advise, and work on data flow optimization including data capture, integration and use.

• Subject Matter Expertise for setting and maintaining GxP standards for future state according to Takeda SDLC policies and QMS - including digital products and new technologies.

• Develop data profiling and data quality methodologies and embed them into the processes involved in transforming data across the systems.

• Manage and influence the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading and initial exploration in the process of searching and finding data patterns.

• Facilitate analytical assessment conceptualizing business needs and translate them into analytical opportunities.

• Lead the development of technical roadmaps and approaches for data analyses to find patterns, to design data models, to increase the model to a managed production environment within the current or a technical landscape to develop.

• Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures etc., for R&DQ and stakeholders.

• Provide input to complex decisions that impact overall data products.

• Seek input from multiple members and stakeholders to lead innovative solutions.

• Incorporate feedback and ensure decisions are implemented swiftly to yield execution.

• Drive and support new ways of thinking and lead change.