AI-Driven Content Specialist, Data & Ops

London Stock Exchange Group

Taguig

On-site

PHP 1,200,000 - 2,000,000

Full time

48 hours ago
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Job summary

London Stock Exchange Group in Manila seeks a Content Specialist within the Datastream Specialist function to build, maintain, and support cross-asset content across Datastream and QA. The role collaborates with Content Management, Development, and Production teams, while delivering AI-driven automation and workflow improvements to enhance efficiency and data quality.

The ideal candidate brings strong analytical and stakeholder skills, plus experience in AI, data operations, and scalable data

Qualifications

  • Minimum 2 years' experience in a senior content/analyst role or equivalent.
  • Experience delivering business, operational, data, or technology transformation initiatives.
  • Experience with AI agents, Generative AI, workflow automation tools, Python, SQL, or low-code platforms.
  • Understanding of AI in content ops, data management, and process optimization.
  • Ability to identify and implement AI/automation opportunities to improve efficiency.

Responsibilities

  • Build, maintain, and support Datastream and QA across multiple asset classes.
  • Coordinate project delivery across Datastream operations teams.
  • Managing complex queries through to resolution.
  • Implement Day 1 market and content changes.
  • Drive AI, automation, and process improvement initiatives.
  • Collaborate with global teams across UK and US time zones to deliver objectives.
  • Adapt to changing business requirements and work independently to deliver outcomes.

Skills

AI
Generative AI
Workflow automation
Python
SQL
Low-code platforms
AI productivity tools
Prompt engineering
Data governance
Data privacy

Job description

London Stock Exchange Group in Manila seeks a Content Specialist within the Datastream Specialist function to build, maintain, and support cross-asset content across Datastream and QA. The role collaborates with Content Management, Development, and Production teams, while delivering AI-driven automation and workflow improvements to enhance efficiency and data quality.

The ideal candidate brings strong analytical and stakeholder skills, plus experience in AI, data operations, and scalable data

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