01Overview
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Job Description
The Future Begins Here
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is Indias epicenter of Innovation, has been selected to be home to Takedas recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
At Takedas ICC we Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team
OBJECTIVES/PURPOSE:
Design the operating model for Medical Insights & Analytics in the India GCC, build the team and capability from the ground up, and run it as a scaled I&A factory across the full set of Medical capabilities
Partner with the Medical Insights CoE lead to transform the function from report production to insight generation and decision support
Collaborate with DD&T and shared service teams to build upon what already exists in enterprise, enhancing Medical-specific insights and analytical capability.
Own and maintain data through insights foundation for Global Medical, across source systems, data products, and analytical products, enabling the architecture choices that make Medical data accessible, connected, and trusted
Build and run a Medical I&A factory that delivers business enabling analytics including dashboards, recurring and retrospective reporting, and self-service outputs at a predictable quality, cost, and cycle time
ACCOUNTABILITIES
Operating Model Design & Capability Build
Design the target operating model for Medical Insights & Analytics in the India GCC, including service catalogue, delivery model, roles and skill mix, decision rights, governance, ways of working with global stakeholders, and the internal versus vendor split.
Build the team: define the structure, hire and onboard data engineering, analytics, and visualization talent, set performance expectations, and develop and retain capability as the function scales.
Stand up and scale the I&A factory across Medical capabilities, sequencing which capabilities onboard when, and transitioning work into steady-state delivery without disruption to global stakeholders.
Own the business case, roadmap, and value narrative for the capability, and represent Medical I&A in GCC and Global Medical governance forums.
Data Platform, Source System & Architecture Ownership
Own Medical source systems, data pipelines, data products, and the supporting platform and architecture, including intake, data models, refresh schedules, access management, and lifecycle decisions.
Set and maintain Medical data standards, definitions, metadata, and quality controls so that the same question is answered the same way across therapeutic areas, functions, and regions.
Act as the Medical product owner for enterprise architecture decisions that affect Medical data, ensuring Medical requirements are represented in platform roadmaps, integrations, and technology investments.
Maintain data governance, privacy, and compliance practices for Medical data in line with enterprise policy, including appropriate handling of regulated and third-party data.
I&A Factory Operations & Delivery
Build and run the Medical I&A team, covering dashboard production, recurring operational reporting, retrospective and ad-hoc analyses, and self-service enablement.
Cover the full Medical analytics estate: KOL and HCP identification, profiling, tiering and network analytics; MSL and field medical activity insights; scientific communications, publication and congress analytics (share of scientific voice, citation impact, abstract and publication tracking); medical information and inquiry trend analytics; omnichannel medical engagement reporting across digital, approved email, congress and virtual HCP touchpoints; and RWE/HEOR analytic support.
Accountable for the quality, scientific rigor, timeliness and business relevance of all deliverables produced by the team, setting review standards for analytical soundness, internal consistency .