Job Description
The Data Management & Information Lifecycle Management Practice Lead plays a critical role within MetLife Australia's Data & Analytics (D&A;) function, establishing and maturing enterprise data management capabilities across governance, policy, standards and operating models. Guided by our purpose — always with you, building a more confident future — and our New Frontier strategy, this role ensures data is managed as a strategic asset across its lifecycle in a compliant, trusted and scalable way. Operating within a regulated financial services environment, you will partner across business and technology teams to embed governance‐by‐design, improve data quality, reduce data risk and enable better decision‐making and delivery outcomes.
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Key Responsibilities
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Lead and embed enterprise data governance and ILM practices, including data ownership, stewardship models, governance forums, metadata, lineage and data quality frameworks.
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Drive compliance and risk management across the data lifecycle, including classification, retention, disposal, audit readiness and regulatory obligations in partnership with Risk, Legal and Compliance.
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Develop and operationalise data management frameworks, policies, standards and playbooks, ensuring adoption across business and technology teams.
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Partner with stakeholders to translate regulatory, business and technology requirements into practical governance controls embedded within delivery lifecycles and data platforms.
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Enable continuous improvement and capability uplift, including training, maturity measurement,



automation and use of AI‐enabled tools to enhance governance efficiency and outcomes.
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Required Qualifications
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Proven experience (5+ years) in enterprise data management, data governance or information lifecycle management within a regulated setting (e.g. financial services, insurance).
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Strong expertise in data quality, metadata management, lineage, stewardship models and governance frameworks.
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Demonstrated experience embedding governance‐by‐design into data platforms, delivery lifecycles and operating models.
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Strong understanding of data risk, regulatory and audit requirements, with the ability to translate policy into practical controls and processes.
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Excellent stakeholder engagement and influencing skills, with the ability to operate across business, technology and executive levels.
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Comfort using AI‐enabled and digital productivity tools (e.g. Microsoft 365 Copilot or similar) to support efficient work outcomes, with sound judgement and adherence to organisational policies, governance and quality standards.
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Preferred Qualifications
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Relevant qualifications in Information Management, Data, Technology, Risk/Compliance or related disciplines.
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Professional certifications such as CDMP (DAMA), IAPP or RIMPA, or equivalent.
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Experience with data governance and platform tools (e.g. Collibra, Snowflake, BI tools such as Tableau or Power BI).
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Understanding of AI, automation and data‐driven governance practices, including metadata and data quality optimisation.
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Experience within life insurance, banking or financial services environments.
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📌 Data Governance Practice Lead (New South Wales)
🏢 MetLife Australia
📍 New South Wales