Senior Product Manager: AI Data Strategy & Governance

Charles Schwab; Austin (TX); Presencial; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) with company match

Employee stock purchase plan

Paid time off & sabbatical after 5 yrs

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Descripción de la vacante

Charles Schwab seeks a Product Manager for AI Data Strategy to shape data governance and AI-enabled products. You will lead data strategy, governance frameworks, and scalable capabilities across business and technology stakeholders.

You will advance metadata management, data lineage, and lifecycle standards while balancing governance with innovation in a dynamic AI landscape.

Formación

• 10+ years in data, analytics, AI, governance, product leadership.
• 5+ years leading enterprise-scale data/AI initiatives and governance programs.
• Strong understanding of AI, ML concepts and unstructured data requirements for AI outcomes.
• Experience with data governance, metadata, data lineage, data quality, privacy, risk and compliance.
• Experience leading highly complex cross-functional programs across business and tech.
• Able to translate ambiguous challenges into structured strategies, roadmaps and execution plans.
• Excellent written, verbal, and executive-level communication skills.
• Proven ability to influence decisions and align stakeholders without direct authority.
• Balance innovation, governance, scalability and business value in fast-changing environments.

Responsabilidades

• Define and execute AI data strategies to improve discoverability, accessibility and quality.
• Develop governance frameworks, certification processes, and reusable AI capabilities.
• Collaborate with business, technology, risk, compliance, privacy and data teams to deliver outcomes.

Conocimientos

Data leadership

Program leadership

AI concepts

Data governance

Cross-functional leadership

Strategic planning

Executive communication

Influence without authority

Governance vs innovation

Educación

Advanced degree in Information Management / CS / Engineering / Analytics / Business

Herramientas

GCP

BigQuery

Dataplex

Vertex AI

Descripción del empleo

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 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.

What you have

Required Qualifications

• 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.

In addition to the salary range, this role is 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