Senior Data Platform Product Manager

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 Product Manager (Data Platforms), you will define and lead the strategy, operating model, roadmap, and adoption of enterprise data platforms. You will initiate cross-functional programs, design scalable product and governance practices, and align business, analytics, architecture, governance, and engineering leaders around measurable platform outcomes. This individual contributor role is ideal for a product leader who can shape direction, influence enterprise decisions, and translate strategy into coordinated execution.

Key Responsibilities

Platform vision & roadmap:

Define and own the vision, strategy, and multi-year roadmap (with clear success metrics) for one or more enterprise-scale data platforms. Ensure the roadmap aligns with business priorities and delivers measurable value.

Process design & feature delivery:

Design scalable product operating models, intake and prioritization frameworks, and feature rollout strategies. Initiate major platform capabilities, establish readiness and adoption expectations, and provide leadership across release planning, change enablement, communications, training, and post-launch measurement.

Translate business needs into platform capabilities:

Partner with users and stakeholders to understand business needs, pain points, and workflows. Convert requirements into actionable platform features, user stories, and acceptance criteria that align business outcomes with engineering execution.

Cross-functional leadership:

Collaborate closely with data engineering, architecture, governance, and business teams to deliver scalable, secure, and well-governed data platforms. Establish engagement models that drive alignment, accountability, and efficient decision-making across stakeholders.

Platform governance, health & use-case alignment:

Define and drive platform governance strategy, use-case review frameworks, and adoption standards across the enterprise. Partner with senior leaders, architects, and governance stakeholders to ensure platform investments are used appropriately, align business needs with platform capabilities, and balance innovation with long-term platform health, scalability, and strategic objectives.

Subject matter expertise & advisory:

Serve as a trusted advisor on platform capabilities, data domains, and best practices. Guide business and analytics teams in leveraging platform capabilities and data products to achieve business outcomes and unlock value.

Community of Practice & User Engagement:

Establish and lead a platform user community that strengthens engagement, adoption, and product feedback loops. Create forums for users to share experiences, identify emerging needs, exchange best practices, and collaborate on solutions that enhance platform capabilities and business outcomes.