Senior Technical Product Manager, Data Platforms

Vanguard Group, Inc.

$120K — $145K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree or equivalent experience mandatory; graduate degree preferred.
  • Minimum eight years of related business experience required; three years in leading cross-functional teams preferred.
  • Experience with end-to-end product ownership and lifecycle management in a dynamic environment.
  • Proficient in leading strategic discussions on data architecture and engineering topics.
  • Hands-on experience with data platforms like AWS, Databricks, and others is advantageous.

Responsibilities

  • Own the product vision and strategy from inception to sunset, aligned with company goals.
  • Conduct market analysis and user research to drive product ideation and feature definition.
  • Collaborate with various divisions to develop data products tailored to user needs.
  • Lead innovation through experimenting with MVPs and iterative product development.
  • Manage the product roadmap, aligning with key stakeholders on priorities and feasibility.
  • Conduct usability testing and manage product launches to ensure timely delivery.
  • Partner with finance to manage budgets and evaluate the product's financial performance.

Benefits

  • Opportunity to shape and influence the direction of data platforms.
  • Experience fostering a culture of innovation within a leading organization.
  • Mentorship opportunities for junior team members.
  • Professional growth in a dynamic and collaborative environment.
Full Job Description
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.

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