Business Analyst (AI Domain)
Responsibilities
- 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.
Requirements
- 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.