SVP, Chief Technology Officer (CTO)

Key Responsibilities

• Develop and execute the enterprise technology strategy aligned with business objectives and long-term growth.
• Establish technology roadmaps that modernize enterprise capabilities through cloud-native platforms, automation, data, and AI.
• Advise the organization on emerging technologies, technology investments, and innovation opportunities.
• Determine enterprise technology standards, governance, architecture, and technology lifecycle management.
• Lead the strategy, engineering, and operation of enterprise technology platforms, including: Public and hybrid cloud infrastructure, Platform Engineering, Kubernetes and container platforms, Infrastructure as Code (IaC), DevSecOps and CI/CD platforms, Site Reliability Engineering (SRE), Enterprise observability and monitoring, Identity and shared platform services, FinOps and cloud optimization.
• Define and lead the enterprise Data Engineering strategy supporting analytics, operational reporting, AI, and digital products.
• Develop and execute the enterprise AI strategy focused on measurable business value creation.
• Lead Enterprise Architecture to ensure technology investments create reusable enterprise capabilities rather than siloed solutions.
• Drive Innovation Through: Emerging technology evaluation, Technology incubation, Strategic partnerships, Cloud hyperscaler relationships, AI ecosystem partnerships, Technology standards and reference architectures.
• Guide enterprise modernization initiatives while ensuring technology investments remain aligned with business strategy.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline; Master’s degree, MBA, or advanced technical degree preferred.
• 15+ years of progressive technology leadership with at least 5 years in executive leadership roles within large, regulated enterprises.
• Deep expertise leading Cloud & Platform Engineering organizations supporting enterprise-scale digital capabilities.
• Extensive experience leading Enterprise Data Engineering organizations, including modern cloud data platforms and enterprise integration using batch, APIs, event-driven architectures, and streaming technologies.
• Proven success delivering enterprise AI solutions that achieved measurable business outcomes through production implementation, organizational adoption, and business process transformation.
• Demonstrated leadership in AI strategy, AI governance, responsible AI, enterprise AI platforms, AI literacy, organizational change management, and executive consulting.
• Strong understanding of cloud security, enterprise architecture, technology governance, and regulatory environments within financial services or insurance.
• Exceptional executive communication skills with the ability to influence Boards of Directors, executive leadership teams, regulators, and strategic technology partners.
• Proven ability to attract, develop, and inspire world-class engineering and technology leaders while fostering a culture of innovation, accountability, and continuous improvement.