Vacancy caducado!
- Support the lead to roll-out the newly updated data governance policy, across all the key data disciplines for multiple departments include (not limited to): KDE identification, data lineage capture, DQ rule development
- Manage and work closely with various stakeholders (business owners, IT, department leadership, etc.) to drive through data management activities (support core data capabilities, training stakeholders, enhancing DM policy & procedure docs, etc.)
- Provide support in developing metadata, developing DQ rules, data lineage and reference data management approach
- Liaise with stakeholders (Department business team, IT, cross-department teams) involved in Data lineage work effort to manage multiple hands off and entailing stitching activities to build end-to-end data lineage
- Develop professional grade visio and PowerPoint presentations to support the department roll-out work products and outcomes
- Support the lead with project management activities, including but not limited to, status updates, project plan updates/maintenance, socialization of deliverables with the stakeholders etc.
- Help the DMO leadership and team members with ad-hoc requests on project deliverables
- Help in the development of program level status reports, weekly, monthly etc.
- Proactively identify and mitigate risks before they become roadblocks
- 10 - 12 years' experience in data management and business analysis, preferably in the banking sector
- Should have hands-on understanding of data management capabilities (KDE, Metadata, data lineage, data quality etc.)
- Must be proficient in Microsoft Office Suite - MS PowerPoint and MS Visio
- Must have strong communication skills and be suitable in a teamwork environment.
- Must be proactive and analytical to evaluate and solve problems independently.
- Must be able to work under pressure with the team and deliver results in a timely manner.
- Must be willing to learn, self-driven and responsible.
- Bachelor/Master degree in finance or related field
- Advanced degree in data management, analytics, etc. is preferred