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Platform Manager - AI & Data Platforms
Takeda
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
AI-enabled data platformsAgentic AIModel Context ProtocolAgent-to-agent integrationSolution and platform architectureFinOps and tokenomics governance
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AI-enabled data platformsAgentic AIModel Context Protocol
Role Overview
Takeda is seeking a Platform Manager for AI-enabled data platforms, architecture, and FinOps.
The role evolves enterprise data and AI capabilities to support secure, scalable, cost-transparent, and user-adoptable services.
Key Skills for This Role
AI-enabled data platformsAgentic AIModel Context ProtocolAgent-to-agent integrationSolution and platform architectureFinOps and tokenomics governance
Full Job Posting
Role overview
Takeda is seeking a Platform Manager for AI-enabled data platforms, architecture, and FinOps.
The role evolves enterprise data and AI capabilities to support secure, scalable, cost-transparent, and user-adoptable services.
Core responsibilities
- Manage agentic AI patterns, reusable agents, MCP context integration, A2A communication, automation, and AI-assisted delivery.
- Manage scalable and secure data and AI platform architecture across engineering, integration, governance, and operations.
- Manage token consumption, usage attribution, budget controls, optimization, and chargeback or showback models.
- Improve platform usability, self-service onboarding, user journeys, and adoption.
- Translate business needs into platform roadmaps and reusable solution patterns.
- Modernize data lakes, lakehouses, orchestration, integration, governance, security, observability, and AI platforms.
- Support responsible AI guardrails, operating models, standards, and measurable value realization.
- Promote reliable operations, automation, cost optimization, and product-centric delivery.
Qualifications and experience
- Bachelor’s degree or higher in Computer Science, Information Technology, or equivalent work experience.
- At least 10 years of relevant experience in enterprise data platforms, architecture, modernization, cloud or data economics, AI-enabled delivery, or platform management.
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