Senior Manager, Data Analytics & Management
Vanguard Services Inc
- United States
- United States
Über
Core Responsibilities 1. Data Product Strategy & Vision
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 2. Product Lifecycle Management
Oversee the
end-to-end lifecycle
of data productsfrom 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 3. Operating Model & Governance
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 4. Cross-Functional Leadership & Influence
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 5. Data & AI Enablement
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 6. Value Realization & Metrics
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 Qualifications
Required
1215+ years of experience in
data, analytics, or product management , with 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 Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position.
About Vanguard At Vanguard, we don't just have a missionwe'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.
Sprachkenntnisse
- English
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