Description
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Job Description
Job Posting Description
About the role:
Takeda is seeking an experienced and visionary leader to serve as Vice President, Enterprise Insights & Analytics Capability within the Global Capability Management (GCM) Center of Excellence. This executive will be responsible for building, scaling, and governing Takeda's enterprise Insights & Analytics (I&A) capability as a strategic enterprise asset, enabling data-driven decision making, AI adoption, operational excellence, and measurable business value across the company.
As the global leader for Enterprise I&A capability, this executive will establish the strategy, operating model, governance, talent framework, and value realization approach for analytics capabilities delivered through Takeda's Global Capability Centers (GCCs) in Bengaluru, India; Łódź, Poland; and Mexico City, Mexico. The role will lead a globally distributed organization and partner closely with business, functional, digital, data, and transformation leaders to accelerate Takeda's data, analytics, and AI ambitions.
How you will contribute:
Define and execute the enterprise Insights & Analytics capability strategy, roadmap, and long-term vision.
Establish enterprise standards, governance, operating principles, and maturity frameworks for analytics capabilities.
Drive alignment across business units and functions to ensure a consistent, scalable, and ‘enterprise-first’ approach to analytics.
Serve as a senior leader within the GCM CoE, helping shape enterprise capability strategy, location strategy, workforce planning, and capability investments.
Establish performance measures and value realization frameworks that demonstrate business impact and enterprise outcomes.
Build, lead, and develop high-performing Insights & Analytics teams across Bengaluru, Łódź, and Mexico City.
Create a unified global talent model while leveraging the unique strengths of each GCC location.
Develop organizational structures, leadership succession plans, career frameworks, and workforce strategies to support long-term capability growth.
Foster a culture of innovation, accountability, continuous learning, and collaboration across all GCC locations.
Drive workforce scalability and capability development aligned to enterprise priorities.
Partner with business and functional leaders to identify opportunities where analytics, AI, and automation can create measurable enterprise value.
Guide the development and scaling of advanced analytics, forecasting, market intelligence, customer insights, decision-support solutions, and AI-enabled capabilities.
Collaborate with Data and Digital leaders to advance data strategy, governance, quality, accessibility, and analytics platform adoption.
Champion responsible AI practices, governance, adoption, and value realization across the enterprise.
Drive the creation of reusable analytics assets, products, methodologies, and best practices that can be leveraged across multiple business areas.
Establish enterprise mechanisms to prioritize, govern, and allocate analytics resources and investments.
Balance enterprise demand with capacity, talent availability, and strategic priorities.
Ensure transparency into capability performance, utilization, productivity, and business outcomes.
Partner with business leaders to connect analytics investments with measurable value realization and strategic objectives
Build and nurture a world-class global analytics community.
Develop capability frameworks, career pathways, learning programs, and communities of practice.
Create an environment that attracts, develops, and retains top analytics, data science, AI, and business intelligence talent.
Promote talent mobility and knowledge sharing across functions, business units, and GCC locations. The GCM capability model emphasizes talent as an enterprise asset and capability scaling across the enterprise.
Operate as an enterprise leader capable of influencing executive stakeholders across a highly matrixed organization.
Translate complex data and analytics opportunities into actionable business recommendations.
Balance strategic vision with operational execution.
Build trust across global teams and cultures.
Drive enterprise transformation through analytics, data, AI, and talent development.
Lead through influence, collaboration, and measurable business outcomes.
Preferred Qualifications:
Bachelor's degree in Data Science, Analytics, Statistics, Engineering, Computer Science, Business, or related analytical field.
15+ years of experience in analytics, data, AI, business intelligence, or related disciplines.
10+ years of executive leadership experience managing large global organizations.
Proven track record building and scaling enterprise analytics capabilities across multiple geographies.
Deep expertise in analytics strategy, data-driven decision making, AI adoption, and capability development.
Demonstrated success leading large, globally distributed teams in complex matrix organizations.
Strong executive presence and ability to influence senior leadership and enterprise stakeholders.
Experience within life sciences, healthcare, biotechnology, or other highly regulated industries.
Experience leading global capability centers, shared capability organizations, or enterprise transformation initiatives.
Expertise in analytics governance, AI governance, enterprise data strategy, and value realization frameworks.
Locations
IND - Bengaluru
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time