About The Position

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.

Requirements

  • Undergraduate degree in computers science, information systems, business analytics, or equivalent experience. MBA or advanced degree preferred.
  • Minimum of 8 years of total technology experience, with 3-5 years in IT Product Management taking highly technical, developer-focused (e.g., engineers, data scientists) products from conception to launch.
  • 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).
  • Cross-functional influence and leadership (leading without authority) across multiple teams and levels of stakeholders (e.g., business, risk, compliance, and technology) to align on platform strategy, and drive clarity and alignment in a complex environment.
  • Written and verbal communication skills to build compelling value propositions, GTM plans, influence stakeholders, and provide clarity on complex systems.
  • Track record in using market research, and financial and product analytics to drive innovation, project ROI and manage P&L, and track metrics to inform investment decisions.
  • Proven record in implementing product management frameworks with successful outcomes (e.g., JTBD, CUJ).

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.
  • 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.

Benefits

  • Hybrid working model designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Funds, Trusts, and Other Financial Vehicles

Education Level

Bachelor's degree

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