Technology Strategy
Enterprise platforms, operating models, digital transformation, cloud, infrastructure, and scalable delivery.
CIO | CTO | Cybersecurity Executive
Stephen D. Lowe is a senior technology executive with more than two decades of experience leading enterprise technology, cybersecurity, compliance, data, AI, and platform transformation across private-equity-backed and global organizations.
About
Stephen has led technology, security, risk, compliance, data, and digital transformation in regulated, high-growth environments. His experience spans founder-led companies, global BPO and CX services organizations, and private-equity-backed businesses.
His work includes building audit-ready operating models, commercializing technology and AI-enabled services, leading cybersecurity and compliance programs, and supporting acquisition readiness through technology, data, and security diligence.
Areas of Expertise
Enterprise platforms, operating models, digital transformation, cloud, infrastructure, and scalable delivery.
Security governance, incident response, identity, access controls, and executive-level risk management.
PCI DSS, SOC 2, HIPAA, ISO, governance, evidence management, and regulated client delivery.
Governed AI enablement, analytics modernization, client-facing insights, and responsible automation.
Technology diligence, cybersecurity readiness, integration planning, and transaction support.
Customer experience platforms, automation, analytics, AI-assisted workflows, and service commercialization.
Speaking & Media
Stephen speaks on technology strategy, cybersecurity, AI governance, M&A diligence, audit-ready operating models, and secure digital transformation for distributed workforces.
Board & Advisory
Stephen is focused on board and advisory opportunities where technology, cybersecurity, compliance, AI governance, data platforms, and transaction readiness are central to enterprise value.
Relevant advisory areas include private equity value creation, security and compliance maturity, technology diligence, scalable operating models, and responsible AI adoption.
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