Senior Team Manager, Cloud Data & AI Platform Engineering

Charles Schwab; Southlake (TX); Hybrid; USD 190,000 - 270,000; Full time

Benefits offered by this job

401(k) with company match

Sabbatical after 5 years

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab seeks a Senior Manager, Cloud Data & AI Platform Engineering to lead strategy, engineering, and evolution of shared data and AI platforms powering enterprise analytics at scale.

You will shape cloud-native platform design, modernize operations, and drive automation while ensuring security, governance, and regulatory compliance in a highly regulated environment. Strong cross-functional collaboration and business impact are essential.

Qualifications

• Bachelor's or Master’s degree in a related technical field.
• 10+ years of experience in cloud, platform, data, analytics, or AI engineering roles.
• 5+ years leading engineering teams or enterprise platform capabilities.
• Proven experience designing and leading large-scale enterprise cloud platforms with focus on scalability and availability.
• Experience delivering technology solutions in highly regulated environments.
• Strong expertise with Google Cloud Platform and cloud-native practices.
• Experience with Terraform, CI/CD enablement, automation frameworks, and reusable deployment patterns.
• Experience supporting enterprise data, analytics, or AI/ML platforms.
• Familiarity with GenAI concepts and AI-assisted engineering capabilities.
• Strong communication skills to connect technical solutions to business outcomes.

Responsibilities

• Lead strategy, engineering, and evolution of shared data and AI platforms at scale.
• Drive cloud-native platform design, modernization, and operation.
• Ensure security, governance, and regulatory compliance for platforms.
• Collaborate with engineering, security, risk, and business stakeholders.
• Translate technical capabilities into business value and measurable outcomes.

Skills

Cloud Data Engineering

Team Leadership

GCP Expertise

Terraform

Kubernetes

Data Analytics

AI/ML Platforms

Regulated Environment

Communication

Cross-functional

Education

Master's degree in CS/Engineering/IS

Tools

GKE

BigQuery

Dataflow

Pub/Sub

Dataproc

IAM

Observability

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 that expands access to investing and financial planning. Within this environment, Schwab is advancing next-generation data, analytics, and AI capabilities through modern cloud platforms and reusable engineering solutions that accelerate enterprise adoption of predictive and generative AI.

As a Senior Manager, Cloud Data & AI Platform Engineering, you will lead the strategy, engineering, and evolution of shared data and AI platforms that power enterprise analytics and AI at scale. You will shape how cloud-native platforms are designed, modernized, and operated- driving scalability, resiliency, and automation while enabling engineering teams and analytics users to deliver high-impact outcomes. This includes advancing reusable GenAI platform capabilities that support experimentation, observability, governance, and production readiness, as well as enabling intelligent, AI-assisted platform experiences such as conversational analytics and developer productivity accelerators.

In this role, you will influence enterprise-wide platform transformation by establishing engineering patterns, improving operational maturity, and integrating cloud automation and infrastructure as code to enhance efficiency and consistency. You will collaborate closely with security, risk, compliance, and business stakeholders to ensure platforms meet regulatory expectations while supporting innovation. Success in this role is defined by your ability to lead cross-functional teams, translate complex technical capabilities into business value, and deliver scalable, secure, and future-ready AI and data platforms in a highly regulated environment.

What you have

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
• 10+ years of experience in cloud, platform, data, analytics, or AI engineering roles
• 5+ years of experience leading engineering teams or enterprise platform capabilities
• Proven experience designing and leading large-scale enterprise cloud platforms with a focus on scalability, resiliency, and high availability
• Demonstrated experience delivering technology solutions in complex, highly regulated environments
• Strong expertise with Google Cloud Platform (GCP) and cloud-native engineering practices
• Experience with cloud technologies such as BigQuery, Kubernetes (GKE), Dataflow, Pub/Sub, Dataproc, Cloud Run, Cloud Functions, Cloud Storage, IAM, and observability tooling
• Strong understanding of platform engineering, site reliability engineering (SRE), service lifecycle management, and operational excellence
• Experience with Infrastructure as Code (e.g., Terraform), CI/CD enablement, automation frameworks, and reusable deployment patterns
• Experience supporting enterprise data, analytics, or AI/ML platforms, including solutions used by engineering and analytics teams
• Familiarity with generative AI concepts, LLM-enabled workflows, or AI-assisted engineering capabilities
• Proven ability to lead cross-functional initiatives and influence stakeholders across technology and business organizations
• Strong communication skills with the ability to connect technical solutions to business outcomes

Preferred Qualifications

• Experience with GenAI enablement platforms, model lifecycle management, or reusable AI frameworks
• Experience with Vertex AI, Dataiku, MLOps practices, or enterprise AI orchestration patterns
• Experience enabling AI-assisted analytics or conversational data experiences
• Experience within financial services or other highly regulated industries
• Experience leading enterprise cloud modernization or platform transformation initiatives

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