AI Cyber Risk & Tech Governance Lead

Charles Schwab; Omaha (NE); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Paid vacation and sabbatical program

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a strategic program leader to drive coordination across technology risk, cybersecurity, and enterprise transformation within Schwab Technology Services. Lead governance, reporting, and remediation efforts to ensure timely vulnerabilities remediation and clear executive updates.

You will partner with engineering, security, risk, and operations to translate complex findings into actionable outcomes, accelerate AI governance, and advance risk reduction across critical

Qualifications

• 5-7 years of experience leading complex technology, cybersecurity, or transformation programs across multiple teams.
• Experience establishing governance, reporting, prioritization, and accountability frameworks for vulnerability management and remediation programs.
• Proven ability to coordinate intake, validation, triage, assignment, tracking, and resolution of security findings through Jira or similar workflow management platforms.
• Experience partnering across application development, infrastructure, cybersecurity, risk, compliance, and operational teams to deliver enterprise‑scale initiatives and measurable business outcomes.
• Demonstrated ability to manage risks, issues, dependencies, resource constraints, and executive‑level communications within large, complex programs.
• Strong analytical, problem‑solving, and critical‑thinking skills with the ability to assess technology risks and recommend practical remediation approaches.
• Excellent written and verbal communication skills, including the ability to translate technical information into clear, concise updates for senior leadership.
• Proven ability to influence cross‑functional stakeholders, drive accountability, and achieve results in a highly matrixed environment.

Responsibilities

• Establish and maintain governance frameworks, reporting routines, dashboards, and portfolio‑level tracking to provide leaders with clear visibility into technology risk and support informed, risk‑based decision making.
• Drive the end‑to‑end coordination of vulnerability management activities, including intake, validation, prioritization, remediation planning, issue tracking, and executive communications.
• Oversee findings and remediation efforts across multiple security and testing channels, including AI‑driven application security findings, penetration testing, CodeQL, Black Duck, SAST/DAST, infrastructure configuration reviews, and patchable vulnerabilities.
• Partner with engineering, infrastructure, security, risk, and operational teams to ensure findings are actionable, appropriately prioritized, and addressed through effective remediation strategies.
• Develop reporting and governance processes that improve transparency, accountability, and visibility across the vulnerability lifecycle.
• Use analytical thinking, collaboration, and program management expertise to strengthen Schwab's technology environment, reduce risk exposure, and support continuous improvement initiatives.
• Help advance innovation and operational excellence by enabling consistent execution of technology risk, security, and transformation priorities.

Skills

Technology risk leadership

Governance & reporting

Vulnerability management

Cross-functional leadership

Jira workflow

Analytical thinking

Executive communication

Stakeholder influence

Tools

Jira

CodeQL

Black Duck

SAST/DAST

Veracode

Job description

Charles Schwab is seeking a strategic program leader to drive coordination across technology risk, cybersecurity, and enterprise transformation within Schwab Technology Services. Lead governance, reporting, and remediation efforts to ensure timely vulnerabilities remediation and clear executive updates.

You will partner with engineering, security, risk, and operations to translate complex findings into actionable outcomes, accelerate AI governance, and advance risk reduction across critical