Senior Manager, Data Analytics & Management

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

Qualifications

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

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.