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The Charles Schwab Corporation is seeking a Product Manager for AI Data Strategy & Governance to shape enterprise AI maturity through data strategies, governance, and reusable AI capabilities. You will partner across business, technology, risk, compliance, privacy, and data teams to deliver scalable solutions.
Responsibilities include defining AI data strategies, certifications, and roadmaps, while ensuring data trust, privacy, and regulatory alignment across Schwab's AI-enabled products.
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 Data’s AI Strategy & Governance organization is accelerating responsible AI adoption across the enterprise by helping teams move from experimentation to scalable, reusable AI capabilities. As a Product Manager supporting AI Data Strategy, Product & Governance, you will play a critical role in shaping and advancing Schwab’s AI maturity through the development of data strategies, governance frameworks, certification processes, and AI-enabling products and capabilities. Working at the intersection of AI, data management, governance, technology, and business strategy, you will collaborate across business, technology, risk, compliance, privacy, and data teams to drive enterprise-wide outcomes.
In this role, you will help define and execute AI data strategies that improve data discoverability, accessibility, quality, transparency, and reuse. You will contribute to governance and certification initiatives that ensure AI data is trustworthy, compliant, and fit for purpose while enabling innovation at scale. You will partner with stakeholders to develop and enhance reusable AI capabilities, operational frameworks, roadmaps, standards, and governance processes that improve consistency and accelerate enterprise adoption. Additionally, you will support the evolution of AI-ready data ecosystems by advancing metadata management, data lineage visibility, stewardship practices, and lifecycle management standards. Success in this role requires strong problem-solving capabilities, strategic thinking, technical acumen, and the ability to influence diverse stakeholders to deliver meaningful business outcomes in a complex and evolving AI landscape.
Required Qualifications
Preferred Qualifications
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
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: