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Principal Business Analyst
Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.
We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.
Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.
DESIGNATION : Principal Business Analyst
RESPONSIBILITIES
The Principal Business Analyst acts as a bridge between business requirements and AI technology, identifying opportunities for AI-driven solutions, collaborating with stakeholders, and ensuring alignment of AI projects with business objectives.
Responsibilities
- Agentic Flow Architecting & Implementation: Spearhead the development of AI-driven "agentic flows" that streamline decision-making and automation within complex systems. Deliver robust, end-to-end solutions that integrate seamlessly with existing tech stacks, driving efficiency, scalability, and innovation in enterprise environments.
- Requirement Gathering: Collaborate closely with cross-functional stakeholders to understand business needs, identify bottlenecks, and uncover fresh AI implementation opportunities that drive innovation and efficiency. And value-add to business users by proposing re-designed workflows enabled by such AI initiatives after initial development of MVP (Minimum Viable Product).
- Solution Design: Architect and implement AI solutions, ensuring alignment with business requirements and stakeholder expectations.
- Collaboration: Work with data scientists, engineers, and business users, fostering a cohesive environment where AI solutions are integrated seamlessly.
- AI Strategy Development: Keep a pulse on emerging AI trends, cutting-edge tools, and industry best practices. Proactively recommend transformative applications of AI to maintain a competitive edge in the market.
- Project & Process Management
- Project Coordination: Own the end-to-end management of AI projects, from scope definition to final delivery. Maintain detailed project plans and ensure cross-functional teams stay on track.
- Stakeholder Communication: Present complex AI concepts in digestible formats for leadership and non-technical audiences, fostering buy-in and transparency across the organization.
- Risk Assessment: Identify potential challenges in AI adoption—such as data quality, model drift, or regulatory constraints—and craft mitigation strategies to keep initiatives on course.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related field.
- Candidates with Diplomas in relevant fields and strong industry experience may be considered.
- Minimum 1-3 years of relevant work experience in business analysis, data analytics, or AI-driven solutions.
- Experience leading cross-functional AI projects is a plus.
- Programming: Proficiency in Python, and relevant big data tools.
- Prompt Engineering: Proficiency in prompt engineering, and agentic workflow.
- AI models: Good understanding of existing models and its areas of application, with a proven ability to implement these solutions.
- Strong Communication & Presentation: Ability to simplify technical concepts for non-technical stakeholders.
- Problem-Solving & Analytical Thinking: Capability to break down complex business problems and propose AI solutions.
- Collaboration & Teamwork: Work effectively across departments, facilitating AI adoption.
- Project Management: Familiarity with Agile/Scrum methodologies.
- Adaptability & Learning: Stay updated with evolving AI technologies.
- While certifications are not mandatory, the following are highly valued:
- Entry-level business analysis certifications (e.g., from recognized professional bodies such as IIBA or PMI)
- Foundational or advanced AI/ML certifications (e.g., reputable online course providers or professional organizations