Senior Technical Product Manager, Data Platforms

The Vanguard Group•Charlotte, PA

20h•Hybrid

About The Position

This role involves full product lifecycle ownership for Vanguard’s data platforms, from incubation to sunset, aligning with the enterprise data strategy and target state architecture. The Senior Technical Product Manager will drive customer-centric product ideation by monitoring market trends and conducting user research to identify opportunities for data platform products and features. Collaboration across divisions with users such as data engineers, architects, analysts, and data scientists is key to defining data products that meet critical data and business needs. The role fosters a culture of experimentation through MVPs, rapid prototyping, and iterative development, encouraging bold thinking and a strong bias for execution and learning. Insights will be translated into actionable and prioritized product features. Product delivery will be achieved through innovation, experimentation, and continuous improvement. This includes developing and maintaining a transparent, outcomes-based roadmap and backlog, partnering with stakeholders including architecture and engineering under the CTO to sequence capabilities based on business priorities and technical feasibility. Collaboration with data architecture and engineering teams is essential for co-creating features, often leading technical discussions with a deep understanding of data platforms and technologies like AWS, Databricks, Snowflake, and integration patterns. Usability testing and experimentation will ensure platform features meet user needs. The role also manages product launches, coordinating with project managers for timely releases, and defines/monitors key product metrics to analyze performance, drive value, inform roadmap and investment decisions, and measure success. In terms of funding and P&L, the role partners with finance and engineering leadership to allocate budgets and uses data-driven frameworks to define and manage OKRs, P&L, and ROI of core platform capabilities and data services. Go-to-market and adoption strategies will be developed and executed in partnership with enablement, communications, and support teams, including creating approaches to socialize products and features, along with onboarding and training materials to ensure adoption. The role also contributes to building out the product function by shaping a high-performing product culture within the data platform organization, fostering innovation, and mentoring junior PMs.

Requirements

Undergraduate degree or equivalent combination of training and experience required.
Minimum of eight years related business experience.
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).

Nice To Haves

Graduate degree preferred.
Three years of leading large cross-functional teams on major organizational projects preferred.

Responsibilities

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.
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.
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.