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
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.