Associate Director, Scientific Computation & Applied Technology

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Job Description

This role is responsible for enabling and managing future scientific data and computation platforms within the Takeda portfolio and is responsible for the day-to-day development and alignment of delivery to the strategic vision.  This role is also focused on the understanding and introduction of emerging technology that will change the way we use scientific data and deliver computation through cloud technology and platforms.  Responsibilities of this role include, the conception, delivery, release plans, and communicating progress to stakeholders.

As a recognized expert within your business or function, you possess comprehensive expertise in your discipline and broad knowledge across related areas. You excel at anticipating internal/external challenges, recommending improvements, and providing leadership and consultative expertise for a specific business, region or function. Your role involves shaping company policies, solving unique, far-reaching problems affecting operations, disciplines, or other business units/functional areas/regions. You frequently interact with equivalent-level managers and customer representatives, conducting briefings and technical meetings. Operating independently, you provide guidance in the most complex situations, lead functional teams or projects, and serve as a best practice/quality resource.

ACCOUNTABILITIES:

• Lead the analysis, design, development, and implementation of scientific research and development data and computation platforms to enable computing and research workflows

• Oversee scientific data, computing, and data science platform design, plan projects, establish and monitor progress, and ensure that projects are completed on time, on budget, and properly integrate

• Work closely with R&D strategy and architecture to understand current gaps and future needs of scientific data and computation platforms including the identification of platforms and patterns that can be leveraged strategically across functions and use cases.

• Deep interaction with business partnering functions, scientists, and other business end users to deeply understand the business and computational needs, workflow, and opportunities of the technology scientific data and computing capabilities

• Work closely and support computational projects from drug discovery units and therapeutic areas to ensure success through scalable infrastructure enablement

• Direct the development and configuration of scientific and data platforms from conceptualization through stabilization

• Oversee effort in testing, debugging, and documenting R&D data science platforms

• Direct effort to plan all activities associated with implementation and maintenance of platforms

• Direct effort to provide support to production support service requests and perform routine maintenance and support activities

• Direct effort, use established requirements management methodology and tools, to identify, verify and document business, functional and technical requirements to support development of technology and/or business-driven technology solutions

• Direct effort to work with IT Architects to define business solutions, ensuring alignment with business strategies and priorities, as well as the target benefits expected

• Oversee effort to identify new hardware/software technologies to fit specialized business needs and configurations

• Direct innovative experimentation and proof-of-concept work to introduce new directions and features to scientific technology capabilities

• Technology selection by assessing and re