Senior Manager, Data Analytics & Management

Requirements

• Required
• 12-15+ 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 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

Benefits

Additional Information

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 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 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

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