R0189350 Vice President, Enterprise Insights & Analytics

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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