Senior Manager, Evidence Generation Statistics & Analytics Group Lead

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 Role Objectives: Lead and oversee the Evidence Generation Statistics & Analytics team covering RWD analysis, statistics and analysis for study design and execution, and post-hoc trial-data analysis. This role provides technical, methodological and operational leadership across the Statistics & Analytics portfolio, ensuring high-quality, fit-for-purpose analytical delivery while final scientific interpretation and approval remain with the accountable Global Evidence Generation or R&D owners. Serve as the primary escalation point for the team, drive alignment on analytical standards and priorities, and represent the Statistics & Analytics function to senior stakeholders across Global Evidence Generation, Data Governance and other cross-functional partners Key Responsibilities : Team Leadership & People Management • Manage, coach and develop a team of Statistics & Analytics Leads spanning RWD analysis, statistics and analysis, and post-hoc trial-data analysis • Set individual and team performance objectives aligned to portfolio priorities and evidence generation strategy; conduct performance reviews and development planning • Build team capability and capacity through hiring, training, and succession planning; foster a collaborative, high-performance culture across disciplines • Allocate team resources across competing study and portfolio priorities, balancing workload and technical fit Scientific & Methodological Oversight • Provide senior-level review and quality assurance for RWD analyses, statistical designs, analysis plans, and post-hoc trial analyses produced by the team • Ensure analytical approaches are scientifically sound, methodologically rigorous, and appropriate for intended use (regulatory, payer, HTA, publication, or internal decision-making) • Guide the team on complex methodological questions, study design tradeoffs, and interpretation of analytical results • Review and approve proposed changes to analytical approaches, repository structures, or systems that carry scientific integrity implications Portfolio & Operational Oversight • Oversee execution of the analytics portfolio across studies, ensuring alignment with timelines, quality standards, and reporting/KPI requirements • Monitor study and project status across the team's workstreams; ensure standard repository reports, dashboards, and status updates are accurate and delivered on schedule • Ensure team adherence to data governance protocols, repository standards, and documentation practices defined by Global Evidence Generation and Data Governance • Identify and resolve resourcing, timeline, or quality risks across the portfolio before they escalate Stakeholder Management & Escalation • Serve as the primary point of escalation for unresolved methodological, data, or resourcing issues raised by the team • Partner with Global Evidence Generation, RWD Center of Excellence, Data Governance, DD&T, I&A, LOCs, and data owners to align on priorities, resolve cross-functional issues, and clarify requirements • Escalate high-impact evidence concerns, unclear data limitations, source-selection tradeoffs, and regulatory/payer relevance questions to senior US leadership as appropriate • Represent the analytics team in cross-functional governance forums, providing updates on portfolio status, risks, and scientific considerations Qualifications: Experience: >5 years of related work experience; >4 years of experience in the biopharmaceutical industry; experience in evidence generation, RWE / HEOR, clinical operations, study execution, data analysis operations, medical affairs, or scientific communications preferred. Experience managing teams or senior ICs preferred Technical skills: • Strong understanding of evidence generation studies, post-hoc / SAP analysis workflows, Internal study execution, and study documentation • Familiarity with RWD / HEOR analyses, trial data, protocol / synopsis workflows, study reporting, and dissemination handoffs • Ability to manage quality, timelines, documentation, and escalations across analytical and study execution workstreams • Working knowledge of SAS / R / SQL, evidence repositories, study systems, Veeva, iEnvision, or equivalent platforms preferred • Strong stakeholder management across Global Evidence Generation, RWD CoE, R&D, DD&T, I&A, Content Factory, and LOCs Education: A scientific, medical, life sciences, pharmacy, public health, epidemiology, biostatistics, data science, or health economics degree is required; advanced degree is a plus Languages: Fluent English required; additional languages advantageous Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time