Senior Product Manager: AI Data Strategy & Governance”

About the role

The Schwab Data's AI Strategy & Governance organization is seeking a Product Manager to support AI Data Strategy, Product & Governance. This role involves shaping and advancing Schwab's AI maturity through data strategies, governance frameworks, certification processes, and AI-enabling products and capabilities.

Responsibilities

• Define and execute AI data strategies to improve data discoverability, accessibility, quality, transparency, and reuse.
• Contribute to governance and certification initiatives ensuring AI data is trustworthy, compliant, and fit for purpose while enabling innovation at scale.
• Partner with stakeholders to develop and enhance reusable AI capabilities, operational frameworks, roadmaps, standards, and governance processes that improve consistency and accelerate enterprise adoption.
• Support the evolution of AI-ready data ecosystems by advancing metadata management, data lineage visibility, stewardship practices, and lifecycle management standards.

Requirements

• 10+ years of experience in data, analytics, artificial intelligence, technology, governance, product management, or related leadership disciplines.
• 5+ years of experience leading enterprise-scale initiatives involving data, AI, governance, technology transformation, or product delivery.
• Strong understanding of artificial intelligence, generative AI, machine learning concepts, and unstructured data along with the associated data requirements that enable successful AI outcomes.
• Experience with data governance, metadata management, data lineage, data quality, privacy, risk management, and compliance frameworks.
• Experience leading highly complex cross-functional programs across business and technology organizations.
• Demonstrated ability to translate ambiguous business challenges into structured strategies, roadmaps, operating models, and execution plans.
• Strong written, verbal, and executive-level communication skills.
• Proven ability to influence decisions, build alignment, and drive outcomes without direct authority.
• Ability to balance innovation, governance, scalability, and business value while operating in a fast-changing environment.

Preferred Qualifications

• Experience supporting AI, generative AI, data management, governance, or platform initiatives within regulated financial services organizations.
• Familiarity with enterprise metadata management, data cataloging, observability, lineage, and data quality platforms.
• Experience working with cloud-based data and AI technologies such as GCP, BigQuery, Dataplex, Vertex AI, or similar platforms.
• Experience with AI development lifecycle practices, model governance, or related governance processes.
• Experience creating reusable data products, enterprise standards, frameworks, accelerators, or operating models.
• Advanced degree in Information Management, Computer Science, Engineering, Analytics, Business, or a related field.

What’s in it for you

• A competitive benefits package including a 401(k) with company match and Employee stock purchase plan.
• Paid time off 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.