Description
We are seeking a detail-oriented Manager to support Performance Management pillar initiatives under large Finance Transformation Programme. This role will serve as a key liaison between business and technology teams, ensuring accurate documentation of requirements and smooth transition to future-state reporting capabilities.
Key Responsibilities:
- Manage stakeholders across Finance, Technology, and different business functions to gather and document business and data requirements.
- Manage the implementation of the MI Data Lakes, including design of the data flows, data mapping, validation, and integration activities.
- Lead preparation of detailed and structured data requirements for the technology team to support development and implementation.
- Manage testing and validation of data pipelines and reporting outputs.
- Maintain comprehensive documentation including data dictionaries, process flows, and user guides.
- Coordinate User Acceptance Testing (UAT) and feedback loops with business users.
- Track project milestones and provide timely updates to the project team and leadership.
- Identify and escalate risks or issues that may impact delivery timelines or data integrity.
- Manage change management and training efforts related to new reporting tools.
Qualifications & Skills:
- Bachelor’s degree in Business, Finance, Information Systems, or related field.
- 3–5 years of experience in business analysis, data analytics, or related areas.
- Strong attention to detail and commitment to data accuracy.
- Basic understanding of data warehousing concepts, ETL processes, and reporting tools.
- Proficiency in Excel; familiarity with Power BI, or other BI tools is a plus.
- Excellent communication and documentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Attributes:
- Exposure to data warehouse projects and reporting solution transitions.
- Experience working in cross-functional teams.
- Insurance industry knowledge or exposure is preferred but not required.
- Cantonese language skills are preferred but not required.
- Interest in finance transformation and data-driven decision-making.