Executive/Assistant Manager - Data Governance

The Macquarie Asset Management (MAM) Finance team is a global function that manages financial reporting, accounting, and balance sheet activities to support strategic decision-making and ensure regulatory compliance. We deliver accurate financial insights and drive operational efficiency to support the growth of Macquarie Asset Management.

We are a global financial services group operating in 30 markets with 5 to 7 years of unbroken profitability. At Macquarie, you re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

Role overview

In this role, you drive data quality and data lineage initiatives across domains by developing and reviewing business and technical rules for critical data elements (CDEs). You will collaborate with data stewards and group data Office teams to document requirements, conduct data profiling, and implement effective business rules. Additionally, using your expertise in data governance you will help your stakeholders to view data in context and make smarter business decisions to achieve improved processes and reporting.

Requirements

• Minimum 4 to 7 years experience in data and information management, data governance within financial services or asset management, with hands-on expertise in data quality, lineage, and critical data element (CDE) identification
• Proficient in data governance tools (preferably Collibra), Axon, Informatica, Alation, UseCase, or equivalent metadata management tools SQL, and data visualization platforms such as Power BI or Tableau
• Strong understanding of financial management disciplines in large, complex organizations with basic understanding of financial standards
• Demonstrated ability to engage stakeholders, translate abstract requirements, and prioritize effectively
• Excellent communication, problem-solving, and collaborative skills, with a proactive and independent work approach

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