Senior Manager, Data Analytics & Management

The Vanguard Group•Dallas, TX

2d•Hybrid

About The Position

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. 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.

Requirements

12–15+ years of experience in data, analytics, or product management
5+ years in executive leadership roles
Proven track record of launching and scaling enterprise data products or platforms
Deep understanding of data management, governance, and architecture principles
Experience leading cross-functional teams in complex, matrixed organizations
Strong executive presence with ability to influence at C-suite and board levels

Responsibilities

Define and execute the PW data product strategy, aligned with business priorities and digital transformation goals.
Establish a North Star vision for data as a product, including standards for usability, quality, discoverability, and interoperability.
Identify and prioritize high-impact data products across domains (Client, Account, Product, CX, Risk, Finance, etc.).
Drive adoption of data product thinking, shifting from project-based delivery to product lifecycle management.
Oversee the end-to-end lifecycle of data products—from ideation and design to delivery, scaling, and retirement.
Define clear product roadmaps, success metrics (KPIs/OKRs), and value realization frameworks.
Ensure products meet consumer needs (analytics, reporting, AI/ML, operational use cases) with a strong focus on user experience.
Implement continuous improvement loops leveraging usage analytics and stakeholder feedback.
Design and operationalize a federated, domain-oriented data product model (aligned with data mesh principles where applicable).
Partner with Data Governance to embed data ownership, stewardship, quality, and controls into product delivery.
Define product accountability structures, including roles, funding models, and decision rights.
Ensure compliance with regulatory, risk, and data privacy requirements.
Lead and develop a high-performing team of data product managers, product owners, and analysts.
Partner closely with Engineering, Architecture, Data Management, AI/ML, and Business Leaders.
Serve as a key advisor to executive leadership on data investments, priorities, and business value realization.
Drive alignment across domains to enable reusable and interoperable data assets.
Enable development of AI-ready data products to accelerate advanced analytics, machine learning, and generative AI use cases.
Champion modern data platforms and ecosystems (e.g., cloud data platforms, lakehouse architectures, metadata-driven systems).
Promote data discoverability, lineage, and trust through cataloging and metadata solutions.
Define and track business value metrics tied to revenue growth, cost efficiency, risk reduction, and client experience.
Establish a data product performance framework, including adoption, quality, reliability, and reuse metrics.
Communicate outcomes through executive dashboards and storytelling.