Head of Global Capabilities Center (GCC) I&A

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 Takedas 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

Title: - Head of Global Capabilities Center (GCC) Insights & Analytics

Location: - Bengaluru

OBJECTIVES/PURPOSE:

Takeda is seeking an exceptional Head of Global Capabilities Center (GCC) Data & Analytics to build and scale our India-based analytics organization from the ground up. As the first and most senior analytics leader in India you will be responsible for establishing the organizational vision designing the operating model hiring and developing a high-performing SME team and driving innovation across commercial analytics. You will earn trust and serve as a strategic and growth mindset partner for global and local leadership accelerating Takedas AI and data-driven transformation.

SCOPE:

This leader will be a member of the GCC and US/Global I&A leadership team and will be responsible for the following:

• Organizational Vision & Team Building
• Learning Training & Talent Development
• Performance Management & Culture
• Portfolio & Project Management
• Analytics/Data related Domain Leadership
• Stakeholder Engagement & Global Collaboration

Organizational Vision & Team Building

• Serve as the founding leader of Takedas Global Capabilities Center (GCC) for Insights and Analytics (I&A) responsible for defining and executing the organizational vision and strategy.
• Design the operating model structure and governance for the I&A organization ensuring alignment with Takedas global objectives and values.
• Work collaboratively with Implementation / Transformation Leader to establish engagement model and change management with Business Unit (BU) I&A teams
• Lead all aspects of team building: recruit hire and onboard a diverse high-performing leadership team and analytics professionals at large scale for the enterprise.
• Foster a culture of collaboration innovation and continuous learning from day one attracting and retaining top analytics talent.
• Champion diversity equity and inclusion in all talent practices and organizational design.

Learning Training & Talent Development

• Develop and implement a robust learning and development curriculum for onboarding upskilling and ongoing professional growth including pharma analytics digital AI and leadership training.
• Establish mentorship coaching and knowledge-sharing programs to accelerate team capability and engagement.
• Ensure new hires are rapidly trained and integrated into Takedas culture and ways of working.

Performance Management & Culture

• Design and implement performance management systems including goal setting feedback recognition and career progression frameworks aligned with Takedas standards.
• Set clear expectations for excellence accountability and results orientation across the organization.
• Promote a culture of innovation agility and continuous improvement.

Portfolio & Project Management

• Establish and oversee a comprehensive portfolio management framework to prioritize resource and deliver high-impact data and analytics projects across commercial domains.
• Implement best-in-class project management practices ensuring timely high-quality delivery and measurable business impact.
• Monitor and report on project portfolio health risks and outcomes to global and regional stakeholders.
• Accountable for delivering measurable business impact across global markets and influencing enterprise priorities.
• Own financial planning and resource allocation for GCC ensuring needs of business are met

Data Leadership

• Set and lead the GCC data strategy and operating model ensuring alignment with priorities of DD&T and I&A.
• Support data product strategy governance etc. ensuring scalable and high quality data assets to enable analytics reporting forecasting and AI/ML quality data assets to enable analytics
• Drive harmonization of data standards lineage quality frameworks and metadata practices across BUs to ensure consistent data.
• Partner with BU data and analytics leaders to integrate GCC into the enterprise data & analytics ecosystem shaping platform evolution architectural decisions and future state data data models.
• Support transformation initiatives to harmonize data operations leveraging automation standardized processes reusable assets and analytics ready data data structures.

Analytics Domain Leadership

• Build and lead a world-class commercial analytics organization responsible for delivering high-impact solutions.
• Drive innovation in analytics methodologies including advanced data visualization.
• Oversee the generation of actionable insights by integrating results from various I&A domains
• Interface with BU and country analytics teams to co-create delivery models share best practices and ensure consistent high-quality outcomes.
• Gradually build and scale teams and processes to support the development of capabilities in decision science forecasting market access sales operations primary market research competitive intelligence and other analytical adjacencies
• Lead the implementation and scaling of AI/ML solutions and drive commercial use cases utilizing Gen AI and Agentic AI that drive business value
• Foster a culture of innovation continuous improvement and digital-first thinking across the analytics organization.
• Stay abreast of emerging technologies and trends in AI data science and digital analytics ensuring Takeda remains at the forefront of industry advancements.

Stakeholder Engagement & Global Collaboration

• Act as a key interface between GCC analytics teams and BUs ensuring seamless integration and alignment of analytics and data management initiatives.
• Collaborate with global and local teams to deliver analytics projects that drive business value and support Takedas mission.
• Build and maintain relationships with external partners vendors and industry forums to keep Takeda at the forefront of analytics AI and digital innovation.

CORE ELEMENTS RELATED TO THIS ROLE:

• Visionary leadership and strategic agility
• Talent builder and people developer
• Deep functional expertise in data and analytics related domains
• Operational excellence and results orientation
• Innovation and digital transformation mindset
• Collaboration and influencing without authority
• Cultural sensitivity and global mindset

DIMENSIONS AND ASPECTS:

Key Qualifications and Experience

• Advanced degree in a quantitative discipline (e.g. Data Science Statistics Engineering Analytics or related field); MBA or PhD preferred.
• 15 years of progressive experience in analytics data science or related fields with at least 5 years in senior leadership roles managing large multi-layered teams in pharma.
• Proven track record of building and scaling analytics organizations (ideally from inception) including hiring and developing leadership teams.
• Deep expertise in commercial data & analytics functions including forecasting market access sales operations market research and competitive intelligence
• Experience designing and implementing learning and development programs for large (250 plus) analytics teams
• Strong business acumen strategic thinking and ability to influence at the executive level.
• Demonstrated success in global matrixed environments and cross-cultural leadership.
• Excellent communication stakeholder management and change leadership skills.
• Familiarity with the Indian talent landscape and regulatory environment is a plus.
• High level of proficiency in Artificial Intelligence with demonstrated expertise in establishing GenAI (Generative AI) and Agentic AI methodologies and solutions.

ADDITIONAL INFORMATION:

TRAVEL REQUIREMENTS:

• Occasional travel to US Europe Japan and other global sites for stakeholder engagement as required

Locations

Worker Type

Worker Sub-Type

Time Type