Senior Director, Data Management - Financial Advisor Services

• Posted 60+ days ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Brand
Taxonomy
Accountability
Accessibility
Roadmaps
Dashboard
Lifecycle Management
Regulatory Compliance
Data Integration
Onboarding
Cash Flow
Customer Relationship Management (CRM)
Licensing
Data Deduplication
Data Architecture
Master Data Management
Workflow
Data Flow
Analytical Skill
Embedded Systems
Stakeholder Management
FAS
Change Management
Sales
Marketing
Data Management
Leadership
Financial Services
Domain-driven Design
Data Governance
Management
Meta-data Management
Data Quality
Real-time
Information Systems
Data Analysis
Distribution
Cloud Computing
Artificial Intelligence
Analytics
Use Cases
Finance
Collaboration

Summary

{"description": " Senior Director, Data Management - Financial Advisor Services

Vanguard's Financial Advisor Services (FAS) business is seeking a Senior Director to establish the data foundation that will power FAS today and in the future. This role will operationalize FAS's domain-driven, enterprise-aligned data strategy, ensuring trusted, governed, and AI-ready data products that empower advisors, enhance crew experiences, and strengthen Vanguard's brand. The leader will drive data-as-a-product principles, establish governance from the start, and enable real-time insights for analytics and operational systems.

Leadership & Strategy

Define and execute a domain-driven data management strategy aligned with FAS's 2030 vision.
Align FAS data domains (Advisor/Client, Financial, Engagement, Digital, Operations) with enterprise taxonomy and standards.
Champion data-as-a-product principles: clear ownership, accountability for quality, accessibility, and business value.
Build and lead a team covering governance, stewardship, data quality, metadata, master data management, risk, and integration.
Develop a roadmap supporting real-time, analytics- and AI-ready data capabilities supporting hyper-personalization, agentic CRM, and territory dashboards.

Data Governance & Controls

Implement governance from the start: policies, standards, and oversight across analytics and operational data.
Establish data contracts, security lifecycle management, and metadata lineage for critical data elements.
Drive consistent governance for third-party data packs and internal sources, ensuring compliance and trust.

Third-Party Data Integration

Lead onboarding and harmonization of multiple external data packs (assets and cash flow, advisor attributes, CRM enrichment, portfolio data).
Apply source-aligned ownership and enforce vendor governance: licensing, permitted use, freshness SLAs.
Standardize ingestion, schema alignment, deduplication, and survivorship rules across domains.

Data Architecture & Operations

Vanguard Internal Use Only Partner with FAS Technology to implement modern patterns (lakehouse, master data management, catalog, data quality services).
Ensure metadata management, lineage visibility, and automated data quality remediation workflows.
Deliver real-time data flows for operational and analytical use cases.

Data Products & Enablement

Translate business needs into curated, governed data products (e.g., Sales Compensation, Models, Client Profile).
Publish data products in a catalog with clear contracts, glossary, and permitted use.
Enable self-service analytics responsibly with embedded governance guardrails.

Stakeholder Management

Drive adoption of FAS data strategy through education and change management.
Partner with Sales, Marketing, Product, Risk, and Enterprise Data Office to align priorities.

Qualifications:

Required:

10+ years in data management leadership; 5+ years in financial services.
Expertise in domain-driven design, data governance frameworks, and data-as-a-product operating models.
Experience integrating multiple third-party data sources and managing vendor governance.
Strong knowledge of metadata, lineage, data quality, and cataloging.
Familiarity with real-time data architectures and AI/analytics enablement.
Bachelor's degree in Information Systems, Data/Analytics, Engineering or related field.

Preferred:

Experience with advisor/intermediary distribution data and taxonomies.
Advanced degree or certifications (CDMP, DAMA, cloud).
Exposure to hyper-personalization, agentic AI architectures, and operational analytics use cases.

Special Factors

Sponsorship
Vanguard is 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": null}

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: 23750574
Posted 30+ days ago

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