Senior Manager, Data Risk & Lineage

Charles Schwab; Southlake (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Sabbatical after 5 years

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Data Risk Enhancement professional to identify, quantify, and mitigate data risk across complex data flows. You will translate lineage insights into actionable roadmaps, define risk criteria, and mobilize teams to address prioritized risks.

The role requires strong analytical skills, proficiency in SQL, and deep knowledge of data governance and metadata practices. Collaboration with multiple business and tech functions is essential for success.

Qualifications

• Identify, analyze, and mitigate data risk with focus on data integrity, quality, security, and privacy.
• Gather, analyze, and interpret data lineage and data flows across complex systems to uncover risk concentrations across end-to-end processes.
• Translate lineage and risk signals into clear prioritization insights that guide remediation efforts.
• Ability to mobilize cross-functional teams to address data risks across business and technology domains.
• Strong communication to explain data lineage and risk concepts to technical and non-technical stakeholders.

Responsibilities

• Identify critical data flows and assess end-to-end risk.
• Translate insights into prioritization signals and roadmaps.
• Define risk criteria and surface tradeoffs for action.
• Mobilize cross-functional teams to address data risks.
• Partner with stakeholders to operationalize metrics and reporting.
• Elevate emerging risks to senior management.

Skills

Data risk management

Data lineage analysis

Analytical thinking

Cross-functional collaboration

Communication skills

Prioritization

Ambiguity handling

SQL proficiency

Data governance

Attention to detail

Education

Bachelor's degree

Tools

Jira

Job description

Charles Schwab is seeking a Data Risk Enhancement professional to identify, quantify, and mitigate data risk across complex data flows. You will translate lineage insights into actionable roadmaps, define risk criteria, and mobilize teams to address prioritized risks.

The role requires strong analytical skills, proficiency in SQL, and deep knowledge of data governance and metadata practices. Collaboration with multiple business and tech functions is essential for success.