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Data Stewardship Lead

• Posted 30+ days ago • Updated 6 days ago

Full Time

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Data Stewardship
Data Integrity
Bridging
Accountability
Quality Improvement
Regulatory Reporting
Business Operations
Access Control
Privacy
Legal
Regulatory Compliance
Routing
Distribution
Unstructured Data
Data Storage
Product Requirements
Analytics
Operational Risk
Mentorship
Data Domain
Information Management
Data Science
Business Administration
Financial Services
Meta-data Management
Data Quality
Root Cause Analysis
Analytical Skill
Documentation
Critical Thinking
Attention To Detail
NoSQL
SQL
Transact-SQL
PL/SQL
Cloud Computing
Amazon Web Services
Data Management
Data Governance
Finance
Collaboration

Summary

{"description": "The Senior Data Domain Steward is a key owner of data integrity, quality, and governance across an assigned data domain. This role safeguards the accuracy, consistency, and appropriate usage of data in alignment with Vanguard's enterprise data governance policies, regulatory obligations, and industry standards. The senior steward functions as the operational anchor of governance, bridging business and technical teams, ensuring domain-level accountability, driving remediation and quality improvement, and enabling trusted, well-defined data for analytics, regulatory reporting, and business operations

Responsibilities:

Enforce and operationalize enterprise governance policies, domain-level standards, and data access controls to meet regulatory, privacy, risk, and legal requirements.
Monitor compliance with domain governance expectations, coordinating with internal clients and key partners as needed.
Act as the primary point of contact for data usage inquiries, data concerns, and exceptions; triage and address basic needs while routing complex issues to appropriate governance, engineering, or business teams.
Support enforcement of data distribution, use restrictions, and domain-specific policies.
Maintain continuous visibility into data quality across assigned domain; proactively monitor trends, anomalies, and emerging issues.
Assess the data quality fitness of the data for a user's needs
Lead or partner on root-cause analyses for data defects; develop and track remediation plans with Data Owners, Data Quality Analysts, and engineering partners.
Validate the effectiveness of remediation and contribute to ongoing quality rule refinement.
Ensure accurate, up-to-date lineage information for structured and unstructured data assets, including transformations and system flows.
Own the publication and maintenance of domain metadata-definitions, business terms, classification rules, and lineage-in the enterprise metadata catalog.
Support the creation and certification of domain-aligned data products by ensuring metadata completeness and consistency.
Partner with technology & architecture to document data models, data storage patterns, and key domain entities.
Partner with Data Domain Owners, Data Product Owners, Data Quality Analysts, and business SMEs to align on priorities, quality thresholds, and data product requirements.
Lead education sessions and advisory services to teams on data management principles, governance expectations, and domain standards.
Facilitate cross-domain alignment by collaborating with other stewards, engineering teams, and analytics groups.
Identify opportunities to streamline processes, reduce operational risk, enhance transparency, and improve stewardship efficiency through automation and tooling.
Mentor more junior data domain stewards as the seek to deepen their domain knowledge and data management skills.
Evaluate emerging regulatory requirements, data governance trends, and new technologies (e.g., metadata automation, data observability platforms).
Recommend enhancements to enterprise governance frameworks, domain policies, and stewardship practices, advocating for solutions that meeting domain and client needs.

Qualifications:

Bachelor's degree in Information Management, Data Science, Business Administration, or related experience.
Minimum 10 years of hands-on experience in stewardship, data management, governance, or related roles.
Experience in financial services or another highly regulated industry.
Proven experience in with operational data governance, metadata management and data quality initiatives.
Deep understanding of enterprise governance principles, data policies, and steward responsibilities.
Familiarity with data best practices in financial services or another highly regulated industry.
Proficiency with metadata management and data governance tools (e.g., Collibra, BigID), data quality platforms, lineage tracing systems.
Ability to perform and interpret data quality analyses; skilled in root-cause analysis and issue remediation.
Strong analytical, documentation, and critical-thinking capabilities with high attention to detail.
Ability to translate complex data and technical topics into actionable business language.
Familiarity with relational and NoSQL data stores; working knowledge of SQL/T-SQL or PL/SQL is preferred.
Experience with cloud-based data platforms, particularly AWS, is a plus.
CDMP (Certified Data Management Professional) or similar industry-recognized data governance certification preferred.

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.", "salary_raw": "Row(double=None, string=None)"}

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 23901614
Posted 30+ days ago

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