Senior Technical Product Manager - Data Platforms and Infrastructure
About the position
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.
Responsibilities
• Full product lifecycle ownership : Own the product vision and strategy of Vanguard’s data platforms from incubation to sunset , in alignment with Vanguard’s enterprise data strategy and target state architecture.
• Customer-centric p roduct ideation : Monitor market trends and conduct user research to i dentify opportunities that will define data platform products and product features C ollaborat e across divisions with our users (e.g., data engineers, architects, analysts, data scientists) to define data products tha t meet their critical data and business needs
• Foster a culture of experimentation through MVPs, rapid prototyping, and iterative development , encouraging bold thinking while maintaining a strong bias for execution and learning.
• Translate insights into actionable and prioritized product features Product delivery through innovation , experimentation , and continuous improvement
• Develop and maintain a transparent, outcomes-based roadmap and backlog, partnering and aligning with key stakeholders, including architecture and engineering functions under the CTO, to sequence capabilities based on business priorities and technical feasibility
• Collaborate with data architecture and engineering teams to co-create the right features, often leading technical discussions with a deep understanding of data platforms and technologies (e.g., AWS, Databricks, Snowflake, integration patterns)
• Conduct usability testing and experimentation to ensure platform features meet user needs
• Manage product launches , coordinating with project managers for on-time and on-budget releases
• Define and monitor key product metrics and analyze product performance to continually improve and drive value, inform roadmap and investment decisions , and measure success
• Funding and P&L Partner with finance and engineering leadership to allocate budgets across the product portfolio
• Use data-driven frameworks to d efine and manage the OKRs , P &L, and value realization (ROI) of core platform capabilities and data services
• Go-to-market and adoption: Develop and execute go-to-market (GTM) strategies in partnership with enablement , communications , and other support teams
• Create approach to socialize products and products features along with onboarding and training materials to ensure adoption
• Building out the product function S hape a high-performing product culture within the data platform organization , while fostering a culture of innovation and bold thinking
• Mentor junior PMs and contribute to the growth of the product management capability within EDA&E
Requirements
• Undergraduate degree or equivalent combination of training and experience required.
• Minimum of eight years related business experience.
• Three years of leading large cross-functional teams on major organizational projects preferred.
Nice-to-haves
• Graduate degree preferred.
• Demonstrated end-to-end product ownership across product lifecycle , including product innovation and delivery through ideation and experimentation, GTM , and product evolution in a fast-paced and dynamic environment
• Ability to lead strategic discussions on data architecture and engineering (e.g., data modeling, metadata management, data quality, data integration, storage, compute, security) and data platforms (e.g., AWS, Databricks, Confluent, Flink)
Apply tot his job
Apply To this Job
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.
Responsibilities
• Full product lifecycle ownership : Own the product vision and strategy of Vanguard’s data platforms from incubation to sunset , in alignment with Vanguard’s enterprise data strategy and target state architecture.
• Customer-centric p roduct ideation : Monitor market trends and conduct user research to i dentify opportunities that will define data platform products and product features C ollaborat e across divisions with our users (e.g., data engineers, architects, analysts, data scientists) to define data products tha t meet their critical data and business needs
• Foster a culture of experimentation through MVPs, rapid prototyping, and iterative development , encouraging bold thinking while maintaining a strong bias for execution and learning.
• Translate insights into actionable and prioritized product features Product delivery through innovation , experimentation , and continuous improvement
• Develop and maintain a transparent, outcomes-based roadmap and backlog, partnering and aligning with key stakeholders, including architecture and engineering functions under the CTO, to sequence capabilities based on business priorities and technical feasibility
• Collaborate with data architecture and engineering teams to co-create the right features, often leading technical discussions with a deep understanding of data platforms and technologies (e.g., AWS, Databricks, Snowflake, integration patterns)
• Conduct usability testing and experimentation to ensure platform features meet user needs
• Manage product launches , coordinating with project managers for on-time and on-budget releases
• Define and monitor key product metrics and analyze product performance to continually improve and drive value, inform roadmap and investment decisions , and measure success
• Funding and P&L Partner with finance and engineering leadership to allocate budgets across the product portfolio
• Use data-driven frameworks to d efine and manage the OKRs , P &L, and value realization (ROI) of core platform capabilities and data services
• Go-to-market and adoption: Develop and execute go-to-market (GTM) strategies in partnership with enablement , communications , and other support teams
• Create approach to socialize products and products features along with onboarding and training materials to ensure adoption
• Building out the product function S hape a high-performing product culture within the data platform organization , while fostering a culture of innovation and bold thinking
• Mentor junior PMs and contribute to the growth of the product management capability within EDA&E
Requirements
• Undergraduate degree or equivalent combination of training and experience required.
• Minimum of eight years related business experience.
• Three years of leading large cross-functional teams on major organizational projects preferred.
Nice-to-haves
• Graduate degree preferred.
• Demonstrated end-to-end product ownership across product lifecycle , including product innovation and delivery through ideation and experimentation, GTM , and product evolution in a fast-paced and dynamic environment
• Ability to lead strategic discussions on data architecture and engineering (e.g., data modeling, metadata management, data quality, data integration, storage, compute, security) and data platforms (e.g., AWS, Databricks, Confluent, Flink)
Apply tot his job
Apply To this Job