Charles Schwab & Company, Inc.
Senior Data Product Manager
Austin, TX, US · Senior
Sponsorship not specifiedDetected 7 days ago
SQLBigQueryData EngineeringProduct ManagementProduct StrategyJiraConfluenceLeadershipCommunicationCollaborationProblem Solving
About the role
- Your Opportunity At Schwab, you're empowered to make an impact on your career.
- We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
- As a Senior Data Product Manager, you'll sit at the intersection of business strategy, data platforms, and analytics-owning high‑impact data products from concept through adoption and value realization.
Responsibilities
- Acting as the primary Product Manager for data initiatives, developing epics and user stories, defining acceptance criteria, and ensuring alignment between business intent and technical implementation.
- Championing adoption and value realization by working with business partners to enable onboarding, track usage and outcomes, and continuously iterate on products based on feedback and performance insights.
- Demonstrated collaborative leadership style with the ability to lead and influence diverse, cross-functional teams.
- Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products that support our mission to democratize access to investing and financial planning.
Requirements
- What you have Required Qualifications Ability to describe one or more data products you owned, including the problem statement and approach followed to deliver the data products.
- Bachelor's degree.
- As a Data Product Manager, you are accountable for the end‑to‑end lifecycle of data products, from opportunity discovery through sustained adoption and value realization.
Nice to have
- Advanced degree in engineering, information systems, or business administration.
- Experience with modern data platforms (e.g., Google BigQuery).
- Experience defining or implementing data management practices such as metadata, data quality, or data lineage.
Compensation
- In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
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