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Takeda Pharmaceutical · Bengaluru, Karnātaka, India

# Associate Director, Evidence Generation Study Execution & Data Group Lead

Bengaluru, Karnātaka, India Full-time Director {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}} Data & Analytics 

Listed on Takeda Pharmaceutical’s official careers site. Posted October 13, 2026. Check that it is still open and apply there.
[Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/associate-director-evidence-generation-study-execution-and-data-group-lead/1113/101918325504)

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## Job description

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 the Evidence Generation Study Execution & Data capability within the Bengaluru GCM, overseeing governance records and systems operations, AI-enabled surveillance, RWD data operations, statistics and analysis, post-hoc / SAP trial-data analysis, internal study execution and study-development support
- Establish a scalable operating model that delivers high-quality operational execution, documentation, coordination, analytics support, and repository discipline that enables Global Evidence Generation and RWD leadership to focus on scientific strategy, methodology, interpretation, and final decision-making Key Responsibilities: Capability Leadership & Operating Model Build
- Establish operating rhythms, role clarity, escalation pathways, and quality expectations across the Study Execution & Data GCM teams
- Oversee team delivery across governance records and systems operations, AI-enabled surveillance, RWD data ingestion and quality, statistics and analysis, post-hoc trial-data analysis, internal study execution and study-development support
- Manage daily workflows for manager level roles related to RWD activities including data ingestion and analysis
- Define capacity plans, intake rules, workload allocation, and handoff protocols with Global Evidence Generation, RWD CoE, DD&T, R&D, I&A, LOCs, and other partners
- Ensure GCM execution remains within approved scope while strategic judgment, scientific interpretation, methodology decisions, and final approvals remain with US owners Data, AI & Systems Oversight
- Oversee evidence data governance support, repository validation, data access assessment, systems roadmap implementation support, and AI-enabled literature surveillance
- Ensure data governance and systems activities follow defined metadata, access, version-control, retention, and audit-readiness standards
- Partner with DD&T, R&D, and I&A to support implementation planning, testing, readiness, communication, and change documentation for Evidence Generation systems and data capabilities
- Monitor risks related to data access, repository quality, system dependencies, AI output traceability, and unresolved technical or governance issues

### Study Execution & Analytical Delivery Oversight
- Oversee GCM support for statistics and analysis, post-hoc / SAP trial-data analysis, internal study execution, evidence-source landscaping, protocol / synopsis support and study-execution documentation
- Ensure analytical and study execution outputs include documented assumptions, limitations, QC evidence, reproducibility records, and escalation notes
- Support standardization of templates, trackers, output shells, review packages, and documentation workflows
- Escalate methodology changes, interpretation questions, scientific issues, regulatory / HTA implications, and strategic tradeoffs to Global Evidence Generation owners Team & Stakeholder Management
- Lead and develop Senior Managers and Manager-level ICs; support onboarding, training, coaching, and capability maturation
- Serve as the senior GCM contact for Study Execution & Data delivery, providing status reporting on capacity, quality, backlog, risks, and transition readiness
- Drive continuous improvement, automation adoption where approved, and process standardization across the capability Qualifications: Experience: >8 years of related work experience; >4 years of experience in the biopharmaceutical industry; >4 years in evidence generation, RWE / HEOR, clinical operations, study execution, data governance, analytics operations, or medical affairs operations.

Experience managing teams or senior individual contributors preferred.

### Technical skills
- Strong understanding of evidence generation study execution, RWD / HEOR operations, data governance, study systems, and analytical delivery workflows
- Ability to lead cross-functional delivery across Global Evidence Generation, RWD CoE, DD&T, R&D, I&A, LOCs, and vendors
- Knowledge of study documentation, repository governance, QC evidence, audit readiness, and controlled analytics environments
- Familiarity with RWD data sources, study systems, AI-enabled surveillance, SAS / R / SQL workflows, Veeva, iEnvision, or equivalent platforms preferred
- Strong stakeholder management, operational governance, and process scale-up skills Education: A scientific, medical, life sciences, pharmacy, public health, epidemiology, biostatistics, data science, or health economics degree is required; advanced degree preferred Languages: Fluent English required; additional languages advantageous Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time

## At a glance
- Posted by the employer: Oct 13, 2026
- First seen by OpenNash: Oct 18, 2026
- Last checked: Oct 18, 2026
- Listed for: 5 days
- Location: Bengaluru, Karnātaka, India
- Employment type: Full-time
- Pay: {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}}[Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/associate-director-evidence-generation-study-execution-and-data-group-lead/1113/101918325504)

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