Senior Technical Product Manager, Data Platforms

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role.

Vanguard aims to be an AI-driven organization, and achieving this ambition requires a strong data foundation across the entire data value chain - from operations, to analytics, to agent-driven workflows. If you are excited about solving complex problems and delivering value in a critical function, then join our newly formed Enterprise Data Architecture and Engineering (EDA&E) team, operating in startup mode while building cutting-edge, cross-functional data capabilities. You will conceive and lead the product development of modern, scalable, self-serve data infrastructure and integration platforms, to serve operational, analytics, ML, and GenAI use cases, while developing the foundations of a strong product management function for data platforms.

What You'll Do

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.