Senior Technical Product Manager - Data Platforms and Infrastructure

Remote Full-time
About the position 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 product ideation: Monitor market trends and conduct user research to identify opportunities that will define data platform products and product features Collaborate across divisions with our users (e.g., data engineers, architects, analysts, data scientists) to define data products that 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 define 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 Shape 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 Qualifications Undergraduate degree or equivalent combination of training and experience required. Graduate degree preferred. Minimum of eight years related business experience. Three years of leading large cross-functional teams on major organizational projects preferred. Preferred Qualifications 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) 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. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences. 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 product ideation: Monitor market trends and conduct user research to identify opportunities that will define data platform products and product features • Collaborate across divisions with our users (e.g., data engineers, architects, analysts, data scientists) to define data products that 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 • Partner with finance and engineering leadership to allocate budgets across the product portfolio • Use data-driven frameworks to define and manage the OKRs, P&L, and value realization (ROI) of core platform capabilities and data services • 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 • Shape 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)
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