Senior FAS Data Product Manager

Key Responsibilities

• Product Lifecycle Management: Oversee the full lifecycle of data products, including ideation, development, launch, monitoring, iterative improvement, and retirement.
• Operational Leadership: Serve as the connective tissue driving a unified operational framework for data product development, ensuring alignment with business strategy and fostering cross-team collaboration between IT and analytics partners.
• Requirements Gathering: Collaborate with business stakeholders to scope technical, business, and operational requirements for data products.
• Performance Monitoring: Gather feedback from developers and users, monitor product performance, and drive ongoing improvements through iterative updates.
• Engagement & Adoption: Promote engagement and adoption of data products, facilitate training, and support user onboarding.

Core Skills

• Technical Expertise: Foundational knowledge in data management, analytics, data engineering (data pipelines, storage technologies, integration, and quality assurance), and alignment with organizational data architecture.
• Data Modeling: Understanding of conceptual, logical, and physical data models; ability to define and govern metadata and semantics.
• Business & Strategy: Ability to drive adoption, support scalability, and ensure ongoing maintenance of data products. Strategic vision and product roadmapping, business acumen, and change management.
• Soft Skills: Strong interpersonal and communication skills to foster collaboration among cross-functional teams and manage stakeholder relationships.
• Promoting Data Literacy: Ability to create documentation, deliver training, and promote data literacy across the organization.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Business, or related field.
• Proven experience in data product management, data engineering, analytics, or related roles.
• Strong understanding of data governance, data architecture, and product management best practices.
• Experience with analytics tools (SQL, Python, R, Tableau, Power BI, etc.) and data pipeline orchestration.
• Excellent communication, leadership, and stakeholder management skills.
• Familiarity with emerging AI/ML capabilities strongly preferred

Special Factors

Sponsorship

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.