Senior Manager, Data Governance

The Enterprise AI & Data Governance team drives enterprise-wide governance for data and AI by defining and operationalizing policies, standards, controls, and monitoring frameworks. The team provides centralized oversight of governance adherence, controls effectiveness, and issue management, partnering across the organization to enable trusted and audit-ready use of data and AI.

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.