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MediaCorp

Principal Business Analyst

Posted Updated 1 view
Discussion
  • Conduct discovery sessions, interviews, workshops, and workflow mapping with business teams to identify AI opportunities.

  • Translate business pain points into AI-ready problem statements, hypotheses, success metrics, requirements, user stories, and acceptance criteria.

  • Lead the scoping and coordination of AI POCs and MVPs, from opportunity framing to prototype validation and pilot recommendation.

  • Partner with technical teams, vendors, and business users to design AI-enabled workflows and solutions.

  • Coordinate UAT, pilot feedback, test scripts, evaluation rubrics, and validation reports.

  • Analyze results from POCs/MVPs and recommend whether solutions should be scaled, refined, paused, or discontinued.

  • Prepare business cases, PRDs, process maps, delivery plans, risk logs, decision papers, and stakeholder updates.

  • Support responsible AI adoption by ensuring appropriate human oversight, data handling, disclosure, quality checks, and policy compliance.

  • Develop user guides, SOPs, training materials, and change management support for AI-enabled workflows.

  • Stay updated on AI tools, media industry use cases, and emerging best practices, and translate these into practical recommendations for Mediacorp.

Qualifications

  • 5 years of experience in business analysis, product analysis, digital transformation, AI/data projects, consulting, or technology-enabled process improvement.

  • Strong experience in stakeholder engagement, requirements gathering, workshop facilitation, process mapping, and documentation.

  • Experience supporting POCs, MVPs, pilots, UAT, Agile delivery, or product development.

  • Ability to structure ambiguous business problems and translate them into clear solution requirements and testable success criteria.

  • Good understanding of generative AI, LLMs, AI agents, automation, chatbots, analytics, or enterprise AI tools.

  • Strong communication skills, with the ability to explain AI and technology concepts to non-technical stakeholders.

  • Comfort working across business, product, engineering, data, vendor, governance, and leadership teams.

  • Experience in media, broadcast, digital content, newsroom operations, creative production, marketing, advertising, or commercial workflows.

  • Hands-on experience with ChatGPT, Claude, Gemini, Copilot, and other commonly used AI tools, as well as AI prototyping tools, prompt engineering, low-code automation, dashboards, or agentic workflows.

  • Experience with vendor evaluation, RFP support, solution comparisons, or technology procurement.

  • Knowledge of responsible AI practices, data privacy, human-in-the-loop review, AI output evaluation, and change management.


Skills

See also

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