This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and presentation skills are required in order to guide, influence and convince others.
Responsibilities:
- Partner with multiple teams to implement relevant Data Issue resolution solutions and/or execution of relative controls for Data Risk and Control framework
- Oversight and analysis of data-related issues, conducting root cause analysis workshops, tracking of ownership and target dates and associated metrics and reporting
- Support and coordinate with business lines and global functions on requirement gathering, solution roll out, building controls around key risk indicators and testing framework
- Project manage any specific Data issue resolution project or implementation of new Key Risk Indicators in line with enterprise-wide principles, policies, processes and practices as needed
Qualifications:
- 10+ years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
- Ability to handle complexity, ambiguity and a fast changing, often demanding work environment
- Advanced understanding of Project Management methodologies and tools
- Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
- Strong leadership, interpersonal and relationship-building skills.
- Excellent Microsoft Office skills in Word, Excel, Access, PowerPoint.
- Strong team player and work effectively in a matrix organization.
- Ability to influence projects with multiple constituents across organizations whilst ensuring quality delivery to agreed deadlines
- Past experience of working within Consulting / Audit with ‘Big-4’ firms
- Experience of Risk and Finance functions/architecture and familiarity with multiple asset classes (e.g. Interest Rates, Credit, FX, Commodities, Equities, Prime) would be advantageous.
Education:
- Bachelor's/University degree, Master's degree preferred
Data GovernanceData Governance Foundation
Time Type:
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