Technology Governance Lead

STSI has a direct client in Kansas City, MO in need of a Technology Governance Lead for a Direct Hire or Contract-to-Hire opportunity. This is an On-Site role in Kansas City, MO. Qualified candidates, please provide resume. Thank you!

Technology Governance Lead (Information Security)

Direct Hire or Contract-to-Hire: W2– Candidates must be authorized to work in the U.S. on a W2 basis.

Duration: 6-9 Months Contract-to-Hire

Pay: Negotiable
Relocation: Available

Schedule: Monday-Friday
Location: Kansas City, MO;
Considering local candidates or those willing to relocate

• 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, Data Ops/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.