Technology Governance Lead (34731)
STSI
Atlanta, United States of America
1 month ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Atlanta, United States of America
Tech stack
Artificial Intelligence
Computer Security
Data Governance
Data Security
Metadata
DataOps
Information Technology
Requirements
- Bachelor's degree in Computer Science, Information Technology or related field + 8 years information security experience required -
- Able to define policy, decision rights (RASCI), and steward models (centralized/federated/hybrid).
- Demonstrated ability to engage Executive Leadership, advance data literacy, convene steering committees, and translate risks into business and financial terms for senior leaders.
- Proven experience leading technology or data governance programs and working cross functionally to operationalize classification, stewardship, access controls, risk assessments, exception management, and continuous improvement.
- Experience conducting risk assessments and working with security, privacy, legal, audit, and business teams to translate risks into prioritized remediation and investment needs.
- Technical knowledge of metadata, data cataloging, lineage, MDM, data quality, DSPM/DLP, DataOps/Data observability concepts, and governance platform integrations with data architectures.
- Applied experience in project management principles and methods.
- One or more professional cybersecurity certifications (e.g., Security+, CISA, CRISC, CISSP)
- Demonstrated experience leading design, implementation, and operation of enterprise technology and data governance within the security function.
- Experience partnering with high visibility C-Suite individuals and key business stakeholders to ensure technology and data policies, decision rights, and controls align with business outcomes and risk appetite.
- Ownership of program-level activities including technology and data inventory and mapping, classification and minimization, stewardship model, data access controls, data risk assessment, and governance metrics to support compliance, security, and AI readiness.
