Senior Data Product Manager

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

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).

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.

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. This is a hands-on, individual contributor role ideal for a product leader who thrives in ambiguity, balances strategy with execution, and is passionate about turning data into measurable business outcomes.

Required Qualifications

• Ability to describe one or more data products you owned, including the problem statement and approach followed to deliver the data products.
• 5+ years of professional experience, including 3+ years of project or product management experience.
• Bachelor’s degree.
• Experience performing data discovery and writing basic SQL for data validation and understanding.
• Demonstrated ability to gather, refine, and prioritize business requirements.
• Experience writing user stories and defining acceptance criteria in partnership with business and technology teams.
• Demonstrated collaborative leadership style with the ability to lead and influence diverse, cross-functional teams.
• Experience defining and tracking product KPIs (e.g., usage and adoption) and communicating product value and outcomes.
• Strong communication skills with a high level of comfort leading meetings.
• Ability to navigate ambiguity in a fast-paced environment while introducing structure and problem-solving frameworks.
• Excellent collaboration skills and comfort working in a matrixed organizational environment.
• Active listening skills with the ability to synthesize complex details and dive deep to solve problems.
• Self-starter mindset with willingness to learn quickly, make decisions, and pivot toward better solutions when needed.
• Flexibility and comfort with change in a transforming organization.

Preferred Qualifications

• Advanced degree in engineering, information systems, or business administration.
• Experience with modern data platforms (e.g., Google Big Query).
• Experience defining or implementing data management practices such as metadata, data quality, or data lineage.
• Experience building go-to-market or adoption approaches for data products, including user onboarding and awareness.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.