Senior Manager, Ai Productivity

LSEG

Bucharest, Romania
On-site
Enterprise ai platforms ownership
Secure, scalable, compliant adoption
Platform enablement and integration
LSEG is seeking a Senior Manager for AI Productivity to lead the enterprise AI platforms, ensuring their secure and compliant adoption across the organization. The ideal candidate will have extensive experience in managing enterprise-scale SaaS platforms and AI integration, with a strong focus on governance and productivity measurement

Job Summary

  • This role will own the enterprise AI platforms — ChatGPT, Claude, Microsoft Copilot and future GenAI capabilities — ensuring secure, scalable, compliant, and value-driven adoption across LSEG.
  • The role requires strong experience across SaaS platform management, API integrations, automation, identity and access management, data protection controls, and enterprise tooling ecosystems.
  • This role will lead a regional squad of AI developers, partnering globally to establish a consistent enterprise AI productivity enablement model, drive adoption and ensure safe, governed usage of AI platforms across the organisation.

Matching Summary

Match Score: 85

LSEG is seeking a Senior Manager for AI Productivity to lead the enterprise AI platforms, ensuring their secure and compliant adoption across the organization. The ideal candidate will have extensive experience in managing enterprise-scale SaaS platforms and AI integration, with a strong focus on governance and productivity measurement.

Skills & Requirements

Must-have

  • Enterprise AI platforms ownership
  • Secure, scalable, compliant adoption
  • Platform enablement and integration
  • Governance frameworks for AI
  • API integrations across enterprise systems
  • Identity and Access Management
  • Data protection controls

Nice-to-have

  • Workforce productivity acceleration
  • Responsible AI adoption
  • Continuous improvement and experimentation

Key Requirements

  • Proven experience leading enterprise-scale SaaS platform ownership
  • Deep understanding of MCP and A2A
  • Strong understanding of enterprise AI/LLM platforms
  • Experience building and scaling technical teams
  • Ability to translate AI capabilities into measurable business value
  • Experience operating in high-control, risk-aware environments

Work Rights

Not specified

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