Cloud Platform Delivery Lead, Data & AI

The Charles Schwab Corporation; Southlake (TX); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k) match

Sabbatical program

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

The Charles Schwab Corporation in Texas is seeking a senior cloud engineering delivery lead to oversee cross-platform execution across Cloud Data & AI Services and CDWP, coordinating platform managers, engineers, and product partners to translate demand into executable delivery plans.

The ideal candidate will have 10+ years in cloud/platform delivery, strong leadership, and deep Google Cloud knowledge, including data services such as BigQuery and Dataflow.

Qualifications

• Bachelor degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• 10+ years of experience in cloud platform engineering, infrastructure engineering, software engineering, data platform engineering, enterprise application engineering, or related technology engineering roles.
• 7+ years of experience delivering complex technology initiatives across enterprise platforms, shared services, cloud infrastructure, data platforms, or large-scale application ecosystems.
• 5+ years of experience in an enterprise data platform ecosystem, including interaction with ETL, data integration, BI/reporting, analytics, data science, operational reporting, and downstream data consumption patterns.
• 4+ years of experience with cloud platform delivery, preferably involving Google Cloud Platform services, shared cloud engineering capabilities, platform modernization, or enterprise cloud enablement.
• Experience leading technical delivery across multiple teams, including engineering managers, technical leads, platform engineers, architects, operations teams, product partners, and customer or tenant teams.
• Experience coordinating cross-platform roadmaps, delivery governance, dependency management, release readiness, risk management, and stakeholder communication.
• Experience supporting or leading delivery for multi-tenant data, analytics, AI/ML, or cloud platform services with shared infrastructure, platform services, onboarding patterns, access controls, and operational support expectations.
• Experience operating in production-oriented environments with expectations for change control, incident response, resiliency, observability, operational readiness, and audit/control alignment.

Responsibilities

• Lead integrated technical delivery across Cloud Data & AI Services and CDWP, ensuring roadmap execution, dependency management, delivery sequencing, and release readiness across multiple platform workstreams.
• Coordinate execution across platform managers, technical leads, cloud engineers, architects, product partners, and enterprise customers to translate demand into clear delivery plans and measurable outcomes.
• Drive delivery governance for shared Google Cloud Data & AI capabilities, including prioritization, milestone tracking, risk management, dependency resolution, and stakeholder communication.
• Own cross-platform execution routines that improve visibility, accountability, decision-making, and delivery predictability across platform teams.
• Lead complex delivery efforts that span multiple Schwab enterprises, platform teams, applications, cloud services, security partners, and operational stakeholders.

Skills

Cloud delivery leadership

Cross-team coordination

Roadmap planning

Stakeholder management

Enterprise data platforms

Education

Bachelor degree in Computer Science or related field

Tools

Google Cloud Platform

Terraform

Dataflow

BigQuery

Pub/Sub

Cloud Composer

Job description

The Charles Schwab Corporation in Texas is seeking a senior cloud engineering delivery lead to oversee cross-platform execution across Cloud Data & AI Services and CDWP, coordinating platform managers, engineers, and product partners to translate demand into executable delivery plans.

The ideal candidate will have 10+ years in cloud/platform delivery, strong leadership, and deep Google Cloud knowledge, including data services such as BigQuery and Dataflow.