Core Responsibilities:

• Lead the enterprise data governance strategy and operating model to ensure data is trusted, secure, compliant, and usable across the organization.
• Define, implement, and continuously enhance enterprise data governance policies, standards, controls, and best practices.
• Establish and chair enterprise data governance councils, domain forums, and decision-making bodies to resolve data issues and align priorities.
• Design and operationalize a domain-based data ownership and stewardship model with clear accountability across business and technology teams.
• Define critical data elements, business glossaries, canonical definitions, and data standards to improve consistency across domains and systems.
• Establish enterprise data quality standards, metrics, thresholds, and remediation processes to improve accuracy, completeness, and reliability.
• Oversee metadata management, data cataloging, lineage, and traceability capabilities to improve transparency and discoverability of enterprise data assets.
• Partner with Legal, Compliance, Information Security, Risk, and Technology teams to align governance with privacy, security, and regulatory requirements.
• Oversee data risk monitoring, issue escalation, control effectiveness, and remediation activities, including support for audits and regulatory reviews as needed.
• Embed governance practices into day-to-day business processes, analytics delivery, and digital transformation programs.
• Partner with analytics and AI leaders to ensure enterprise data is discoverable, reliable, compliant, and AI-ready for training, testing, and production use cases.
• Define governance expectations for AI-related data, including lineage, quality, explainability, and responsible use considerations.
• Build a culture of data ownership, stewardship, literacy, and accountability through training, communications, and stakeholder engagement.
• Establish and report governance KPIs/KRIs, progress, risks, and outcomes to senior leadership and governance committees.
  
  
  

Qualifications:

• 8+ years of experience in data governance, data management, data quality, or data strategy, including experience leading enterprise-scale programs.
• Strong expertise in data governance frameworks, stewardship, metadata, lineage, data quality, and modern/cloud data platforms; familiarity with governance tooling is preferred.
• Proven ability to influence senior leaders and drive cross-functional change across business, technology, risk, compliance, and analytics functions.
  
  
  

Preferences:

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Understanding of risk governance, 1LoD/2LoD, etc...
• Familiarity with Collibra or similar data catalogue tools
  
  
  

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.