Associate Director, GDO Business Analytics & Insights

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Takeda is looking for an Associate Director GDO Business Analytics and Insights.

OBJECTIVES/PURPOSE

· Liaise with DSDS, CDSO & GDO Leadership Teams to translate strategic and operational priorities into an effective analytical & insights strategy, aligned with performance measurement metrics developed by the organization.

· Liaise with various internal and external groups (Study Execution Teams, Clinical Operations, Innovation & Data, Patient Safety & Pharmacovigilance , Therapeutic Area Units, regions, CROs, DD&T teams, and external vendors) to ensure optimal development, deployment, and adoption of platform analytics to inform study planning, execution and reporting through a net-new analytics capability.

· Lead the development of a new analytics & insights delivery capabilitiy including the organizational design, recruitment, onboarding, training, and performance tracking for the new capability in alignment with GCM strategy.

· Align with data governance and data modeling experts within the DSDS and DD&T teams to ensure data is pulled from well-governed, established sources of truth and insights are aligned to functional, R&D, and enterprise data governance policies. Serve as a Subject Matter Expert (SME) to inform data governance and data modeling strategy across the function, R&D, and enterprise data teams.

ACCOUNTABILITIES

· Responsible for leading the adoption of analytics solutions, bespoke insights and predictive modelling deliverables.

· Responsible for developing the analytics strategy to support GDO metrics and success measures.

· Responsible for building a novel analytics & insights capability in alignment with GCM (global capability model) strategy, including orgnizational design, recruiting, onboarding, training, and managing performance for analytics & insights delivery teams.

· Reponsible for designing and implementing a methodology to prioritize deliverables and track execution, including deliverables prioritization, status tracking, project management, status, and risk assessment

· Responsible for partnering with GDO business function leads and study teams to evaluate feasibility of bespoke analytics to support specific trial needs, translate business requirements into actionable analytics projects, and provision adequate access to required data sources.

· Responsible for prioritization of analytics & insights requests in alignment with functional priority, trial operational data strategy, and delivery capacity

· Supports Sr. Director, Trial Delivery Data Strategyin identifying high-priority problem statements and coordinating analytics solutions with Takeda functions, GCM teams, and external vendors.

· Evaluates, recommends, and communicates appropriate data visualization best practices, predictive models/techniques, and industry knowledge to other team members.

· Provide oversight and works collaboratively to ensure the design and execution of bespoke analytics to support specific trial needs as required

· Collaborates with DSDS colleagues as well as R&D data governance and data modeling teams to ensure data leveraged for analytics & insights follows defined source of truth data and governance principles

· Serve as Subject Matter Expert for operational analytics, insights data visualization for internal initiatives and projects; act as point of escalation for resolution of emergent issues pertaining these areas

· Ensures a collaborative, high-performing environment and serves as a role model of Takeda leadership behaviors.

CORE ELEMENTS RELATED TO THIS ROLE

• Combines business acumen with a deep understanding of data, data engineering, and analytics methods and technologies pertaining to operational data from clinical trials
• Delivers solutions which drive industrialized integration into business processes and operations
• Leads or contributes to advancement of analytics initatives and complex problem solving in the areas of business analytics and machine learning.
• Understand current and emerging landscape of how analytical methods and platforms address key business needs
• The ability to drive forward advanced technology and data strategies that are applied in high tech environments and translate them into value building data solutions and engagements. This also requires working with the team to execute and the organizations to understand what is possible and where to apply them.
• The ability to create and drive an analytics strategy that spans across multiple divisions and extract insights to allow leadership to make better decisions.

…