(Senior) Business Analyst - PMO - Digital Transformation

Hong Kong SAR Oncology Centre Limited; Hong Kong; On-site; HKD 420,000 - 700,000; Full time

Job summary

Hong Kong SAR Oncology Centre Limited is seeking a (Senior) Business Analyst to join the PMO for digital transformation initiatives in Hong Kong. The role focuses on stakeholder collaboration, translating business needs into actionable requirements, and supporting delivery across AI and automation projects.

Experience in data-related or AI projects and exposure to regulated industries are highly valued. The ideal candidate will have 3–6 years in business analysis or related roles, with strong

Qualifications

• 3–6 years of experience in business analysis, digital transformation, technology delivery, or related roles.
• Strong involvement or proven experience in data-related or AI projects is highly preferred.
• Insurance industry experience is highly preferred; knowledge of risk/compliance considerations is a plus.

Responsibilities

• Collaborate with business stakeholders to understand needs and opportunities for digital transformation, GenAI, automation, and process improvement.
• Translate business problems into clear user stories, functional requirements, and process flows for IT, data, vendors, and delivery teams.
• Support project delivery by tracking milestones, action items, dependencies, issues, and risks across digital and AI initiatives.
• Conduct basic feasibility analyses covering business impact, data availability, and operational considerations.
• Coordinate with business users, IT, data, risk/compliance, and vendors to clarify requirements and support testing and issue resolution.

Skills

Stakeholder collaboration

Requirements translation

Project support

Feasibility analysis

Cross-functional coordination

Analytical skills

Tools

Microsoft 365

GenAI tools

Power Platform Copilot

Copilot Studio

Power Automate

Job description

(Senior) Business Analyst - PMO - Digital Transformation

• Stakeholder Collaboration: Work closely with business stakeholders to understand business needs, pain points, and opportunities for digital transformation, GenAI, automation, and process improvement.
• Requirements Translation: Support the translation of business problems into clear user stories, functional requirements, process flows, and solution documentation for discussion with IT, data, vendors, and other delivery teams.
• Project Support: Assist project managers or workstream leads in tracking delivery plans, milestones, action items, dependencies, issues, and risks across digital and AI-related initiatives.
• Feasibility Analysis: Conduct basic analysis to support feasibility assessments, including business impact, process readiness, data availability, operational considerations, and implementation dependencies.
• Cross-Functional Coordination: Coordinate with business users, IT, data, risk/compliance, and external vendors to clarify requirements, follow up on open items, support testing activities, and facilitate issue resolution.

Key Responsibilities

• Stakeholder Collaboration: Work closely with business stakeholders to understand business needs, pain points, and opportunities for digital transformation, GenAI, automation, and process improvement.
• Requirements Translation: Support the translation of business problems into clear user stories, functional requirements, process flows, and solution documentation for discussion with IT, data, vendors, and other delivery teams.
• Project Support: Assist project managers or workstream leads in tracking delivery plans, milestones, action items, dependencies, issues, and risks across digital and AI-related initiatives.
• Feasibility Analysis: Conduct basic analysis to support feasibility assessments, including business impact, process readiness, data availability, operational considerations, and implementation dependencies.
• Cross-Functional Coordination: Coordinate with business users, IT, data, risk/compliance, and external vendors to clarify requirements, follow up on open items, support testing activities, and facilitate issue resolution.

Who We Are Looking For

• Experience Level: Professionals with 3-6 years of experience in business analysis, digital transformation, technology delivery, process improvement, or project support roles.
• Project Preference: Proven experience or strong involvement in Data-related or AI projects is highly preferred.
• Industry Preference: Experience working in the Insurance industry is highly preferred (backgrounds in broader financial services or regulated industries are also advantageous), along with a basic awareness of risk, compliance, and control considerations.
• Technical Lifecycle: Candidates with a good understanding of the technology delivery lifecycle, including requirements gathering, process mapping, solution design support, user acceptance testing (UAT), change readiness, and production rollout support.
• Core Competencies: Team players who possess strong analytical, communication, and documentation skills, with the ability to work with cross-functional teams and manage multiple tasks in a structured manner.
• Tool Proficiency: Applicants who have a working knowledge of Microsoft M365, GenAI tools, and Power Platform solutions such as Copilot, Copilot Studio, and Power Automate will have a distinct advantage.