Senior Data Product Manager

Charles Schwab; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

401(k) with company match

Employee stock purchase plan

Sabbatical after 5 years

Job summary

Schwab Technology Services seeks a Senior Data Product Manager to own end-to-end data products from concept through adoption. You will partner with data engineering, analytics, and business teams to deliver measurable business value in a data-driven environment.

This hands-on role requires structuring ambiguity, defining scope, and coordinating with stakeholders to drive data initiatives and platform alignment.

Qualifications

• Describe data products you owned and the problem statement.
• 5+ years professional experience including 3+ years PM/PPM.
• Bachelor’s degree required; advanced degree preferred.
• Experience performing data discovery and SQL for validation.
• Gathers, refines, and prioritises requirements with stakeholders.
• Writes user stories and acceptance criteria with tech teams.
• Demonstrates leadership across cross-functional teams.
• Defines and tracks product KPIs and communicates outcomes.
• Strong communication and meeting leadership skills.
• Comfort navigating ambiguity in a fast-paced environment.
• Collaborative and adaptable in a matrix organization.
• Active listening and problem-solving mindset.

Responsibilities

• Own data product strategy and roadmap grounded in business outcomes.
• Translate business needs into defined data products with users, use cases, data domains, and capabilities.
• Lead discovery sessions to identify high-value use cases and sequence delivery.
• Develop epics, user stories, and acceptance criteria aligned to business intent.
• Partner with data eng, platform, and architecture teams for scalability and governance.
• Maintain roadmaps, backlogs, and dependencies in JIRA and Confluence.
• Drive adoption by onboarding partners and tracking usage and value.
• Serve as SME for assigned data platforms and domains.

Skills

Data product mgmt

Stakeholder mgmt

SQL basics

Requirements gathering

User stories

Cross-functional

Communications

Ambiguity

Self-starter

Change mgmt

Education

Bachelor's degree

Tools

JIRA

Confluence

BigQuery

Job description

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.

Key Responsibilities

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. Your responsibilities include:

• Owning the data product strategy and roadmap for one or more data products, grounded in clear business outcomes, value hypotheses, and success metrics (e.g., adoption, data quality, time‑to‑insight, and business impact).
• Translating business needs into well‑defined data products, including defining product vision, target users, use cases, data domains, and required capabilities in partnership with business, analytics, and engineering teams.
• Leading product discovery and prioritization by facilitating structured working sessions to identify high‑value use cases, assess feasibility, and sequence delivery based on impact, dependencies, and organizational readiness.
• 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.
• Partnering closely with data engineering, platform, and architecture teams to ensure data products are scalable, reusable, well‑governed, and aligned with data standards and platform strategy.
• Driving execution and delivery discipline by maintaining roadmaps, backlogs, and dependencies in JIRA and Confluence, while actively managing risks, tradeoffs, and stakeholder expectations.
• 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.
• Serving as a subject matter expert for assigned data platforms or domains, helping business teams understand how to leverage data products to advance analytical and operational needs.

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.
• 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 prioritise 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 organisational 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 organisation.

Preferred Qualifications

• 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.
• 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.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance