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Coordinating Data Steward - Job Opportunity at Reserve Bank of Australia

Sydney, Australia
Full-time
Mid-level
Posted: May 24, 2025
Hybrid
AUD 95,000 - 125,000 per year based on mid-level data governance roles in Australian financial institutions, with government sector positioning typically offering competitive packages including comprehensive benefits and job security premium

Benefits

Permanent employment security providing long-term career stability in a prestigious government institution
Hybrid work environment offering optimal work-life balance with flexibility to work both remotely and on-site
Comprehensive professional development opportunities within Australia's central banking authority
Access to career advancement pathways in a specialized financial institution with national significance
Collaborative work environment that promotes individual growth while contributing to national economic policy
Opportunity to work on impactful projects that directly benefit the Australian economy and citizens
Exposure to cutting-edge data management technologies and practices in the financial services sector
Strong organizational culture emphasizing equity, diversity, and inclusion with supportive workplace policies

Key Responsibilities

Drive enterprise-wide data management transformation by collaborating with senior business stakeholders to architect solutions for complex data challenges across Australia's central banking operations
Shape strategic direction of the Enterprise Data Office by contributing expert insights and recommendations that influence national financial data infrastructure
Establish and maintain critical stakeholder relationships both internally and externally to advance data management capabilities that support monetary policy and financial stability objectives
Lead the development and implementation of bank-wide data management policies and guidelines that ensure regulatory compliance and operational excellence in financial markets oversight
Provide specialized expertise in comprehensive data management disciplines including data quality management, metadata management, and master data governance to enhance the Bank's analytical capabilities
Mentor and support Business Data Stewards in the systematic collection and documentation of metadata, lineage mapping, and risk controls within the business glossary framework

Requirements

Education

Bachelor's degree in relevant field

Experience

Solid understanding and experience in implementing data management and governance framework

Required Skills

Solid understanding and experience in implementing data management and governance framework, ideally following the DAMA DMBoK methodology, in the financial services sector Experience in building and maintaining strong collaborative working relationships with internal and external stakeholders at various levels Exposure and good understanding of big data and data warehousing concepts Knowledge of SQL, R, Python and git is desired, but not essential Experience in metadata management tools
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Industry Trends

Central banks globally are undergoing significant digital transformation initiatives, with data governance becoming a critical pillar for monetary policy effectiveness and financial stability oversight. The Reserve Bank of Australia's focus on enterprise data management reflects the broader trend of financial institutions investing heavily in data infrastructure to support real-time decision-making and regulatory compliance. The financial services sector is experiencing unprecedented regulatory scrutiny regarding data quality and governance, particularly following global financial stability concerns. Data stewardship roles are becoming increasingly strategic as institutions must demonstrate comprehensive data lineage and quality controls to regulators and stakeholders. Big data analytics and artificial intelligence applications in central banking are expanding rapidly, creating demand for skilled data professionals who can bridge technical capabilities with business domain expertise. The integration of traditional banking operations with modern data science approaches is reshaping how monetary policy research and implementation occurs.

Role Significance

Typically operates within a specialized data management team of 8-12 professionals, with direct collaboration across multiple business units and potential oversight of 3-5 business data stewards across various departments
Mid-level strategic contributor with significant influence on enterprise data policy and cross-functional collaboration. The role carries substantial responsibility for shaping data management practices across Australia's central banking operations, requiring both technical expertise and stakeholder management capabilities at senior levels.

Key Projects

Implementation of comprehensive data governance frameworks aligned with DAMA DMBoK standards across monetary policy, financial markets, and payments system operations Development of enterprise metadata management systems supporting critical financial analysis and regulatory reporting requirements Cross-functional data quality improvement initiatives affecting economic research, market operations, and policy implementation processes Stakeholder engagement programs to establish data stewardship practices across research, operations, and technology divisions

Success Factors

Deep understanding of financial services data challenges combined with practical experience in implementing governance frameworks that balance regulatory compliance with operational efficiency Strong stakeholder management and communication skills to effectively bridge technical data management concepts with business objectives across diverse organizational functions Ability to translate complex data governance requirements into practical policies and procedures that can be consistently implemented across different business units Collaborative leadership approach that can influence and mentor business data stewards while building consensus among senior stakeholders with varying technical backgrounds

Market Demand

High demand driven by regulatory requirements, digital transformation initiatives, and the critical importance of data quality in financial decision-making processes across government and private sector organizations

Important Skills

Critical Skills

DAMA DMBoK framework expertise is essential as it provides the structured methodology required for implementing enterprise data governance in complex financial institutions. The framework's comprehensive approach to data management disciplines directly aligns with regulatory expectations and operational requirements in central banking environments. Stakeholder relationship management capabilities are crucial given the need to work across diverse organizational functions including economics research, financial markets operations, payments oversight, and technology divisions. Success requires building consensus among highly educated professionals with varying technical backgrounds and competing priorities. Big data and data warehousing knowledge is increasingly important as central banks process larger volumes of real-time financial market data, economic indicators, and regulatory reporting information. Understanding modern data architecture principles enables effective governance implementation across traditional and emerging data sources.

Beneficial Skills

Programming skills in SQL, R, and Python provide significant value for hands-on data analysis, quality assessment, and automation of governance processes. While not essential, these technical capabilities enhance credibility with technical teams and enable more effective problem-solving in complex data scenarios. Financial services sector experience offers valuable context for understanding regulatory requirements, risk management frameworks, and business processes specific to banking operations. This background accelerates the learning curve and improves the ability to design governance practices that align with industry standards and expectations.

Unique Aspects

Direct impact on Australia's monetary policy and financial stability through data governance practices that support critical economic decision-making processes
Opportunity to work with highly specialized financial and economic datasets that are not available in private sector organizations, including proprietary market intelligence and policy research data
Collaboration with senior economists, policy makers, and financial markets experts providing unique exposure to macroeconomic analysis and central banking operations
Access to cutting-edge research and international central banking networks that offer unparalleled professional development opportunities in monetary economics and financial system oversight

Career Growth

Progression to senior roles typically occurs within 3-5 years given the specialized nature of central banking data management and the comprehensive experience gained in enterprise-wide governance implementation

Potential Next Roles

Senior Data Governance Manager positions within central banking or major financial institutions, Enterprise Data Architect roles focusing on strategic data infrastructure design, Head of Data Management positions overseeing comprehensive data strategy across government or financial organizations

Company Overview

Reserve Bank of Australia

The Reserve Bank of Australia serves as the nation's central bank with primary responsibility for monetary policy, financial system stability, payments system regulation, and currency issuance. As a critical government institution, the RBA operates at the intersection of economic policy, financial markets oversight, and technological innovation, requiring sophisticated data management capabilities to support evidence-based decision-making.

Premier position as Australia's central banking authority with significant influence on national economic policy and financial sector regulation. The institution maintains high credibility in global central banking networks and serves as a model for emerging economy central banks in the Asia-Pacific region.
Headquartered in Sydney with national scope and responsibility, the RBA maintains critical relationships with international central banks, domestic financial institutions, and government agencies. The organization's data management capabilities directly impact Australia's financial stability and economic policy effectiveness.
Professional environment emphasizing intellectual rigor, evidence-based analysis, and public service commitment. The culture promotes continuous learning, cross-functional collaboration, and high ethical standards while providing significant autonomy for subject matter experts to influence policy and operational decisions.
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