Platform Manager - AI & Data Platforms

About the role

As a Platform Manager for AI-Enabled Data Platforms, Architecture & FinOps, you will manage and evolve Takeda’s next-generation Data, AI, and platform capabilities. This role blends agentic AI enablement, enterprise solution and platform architecture, tokenomics/FinOps governance, and user-centered experience design to support Takeda’s ambition of becoming a data- and AI-driven enterprise.

What you'll do

• AI/Agentic Enablement — 30%: Manage the adoption of agentic AI patterns, reusable AI agents, MCP-based context integration, A2A communication patterns
• Solution and Platform Architecture — 30%: Manage scalable, secure, and resilient data and AI platform architecture capabilities across batch, streaming
• Tokenomics and FinOps — 30%: Manage cost transparency, token consumption governance, usage attribution, budget controls, optimization practices
• UI/UX and Adoption — 10%: Work with product, design, and business stakeholders to improve platform usability, self-service onboarding, user journeys
• Work with business engagement leads, enterprise architecture, data governance, security, finance, product

What you need

• 10–18 yrs of experience
• SQL
• ETL
• Python
• AWS
• Databricks
• Kafka
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Informatica
• Airflow
• Redshift
• Spark
• Hadoop
• Git