Own and evolve data products across defined subject areas, ensuring alignment to business outcomes and analytical needs
Translate complex business questions into clear, actionable data requirements for technology teams
Prioritize and manage backlogs to maximize value delivery across the data product lifecycle
Partner with engineering, architecture, and analytics teams to design scalable, high-quality data solutions
Remove obstacles and drive progress by proactively addressing risks, dependencies, and ambiguities
Foster shared understanding and transparency across stakeholders through clear communication and documentation
Promote operational excellence by improving processes that support sustainable data development and delivery
What you have
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Analytics, or a related field
Minimum of 6 years of experience analyzing complex source databases and data warehouse environments
Minimum of 6 years of hands-on SQL experience supporting analytical or data warehouse use cases
Minimum of 6 years of experience creating requirements for data acquisition, transformation, and curation
Minimum of 6 years of experience working as a Product Owner within data management or analytics environments
Fosters ongoing operational excellence by designing processes for organizational capability development
Constructs processes that streamline and maximize the entire product development life cycle
Streamlines requirement analysis and validation for enhanced efficiency
Demonstrated ability to bring structure and clarity to ambiguous problem spaces
Strong ability to influence, collaborate, and build alignment across technical and non-technical partners
Proven skill in prioritization, critical thinking, and managing competing demands
Requirements
Master's degree in a related technical or analytical field
Experience supporting data initiatives within financial services, banking, or brokerage environments
Experience working in Google Big Query
Experience with any/all Business Data Management (BDM) concepts; Data Migration, Data Quality, Data Synchronization, Data Administration, Data Governance and Metadata Management
Synthesizes complex data, manages resources, and develops strategic insights
Establishes communication processes for smooth information flow with others involved in a project or effort
Provides thought leadership in the business area and independently drives strategic initiatives
Supports peers in technical areas to refine their knowledge, skills, and abilities
Enables stakeholders to align decisions with business goals
Influences best practices to plan to prepare for opportunities or challenges
Champions innovative solutions to improve efficiency Influences decisions that drive functional success and operational improvements
Verbally articulates ideas impactfully, fostering open dialogue Inspires confidence with proven expertise, integrity, and accurate communication
Sets performance-driven goals across groups and drives continuous improvement
Leverages diverse expertise to develop strategies in cross-functional projects or programs Creates clear, persuasive, and professional written documents that meet business standards
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Benefits
We offer a competitive benefits package that takes care of the w
Additional Information
Pay range: USD $150,000.00 - $155,000.00 / Year
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).
Within Schwab Data, this role plays a critical part in how we build, manage, and evolve enterprise data products that enable insight-driven decision making across the firm. As a Senior Data Product Owner, you'll bring clarity, ownership, and prioritization to complex data initiatives-partnering closely with technology teams and business stakeholders to turn analytical needs into trusted, well-designed data products.
You'll work in a highly collaborative environment that values curiosity, transparency, and shared success. This role offers the opportunity to influence how data is designed, governed, and delivered at scale while continuing to grow your own product leadership capabilities.
Charles Schwab · Austin, TX