Deputy Chief Technology Officer

The Deputy Chief Technology Officer is the CTO’s principal deputy, strategic advisor, and execution leader. This executive translates enterprise technology strategy into coordinated delivery across engineering, architecture, AI, data, cloud, security, quality, user experience, and global technology operations. The role drives modernization, operational excellence, and innovation across the Clinisys portfolio while ensuring platforms remain secure, scalable, reliable, compliant, and aligned with customer and business priorities.

The Deputy CTO serves as a credible representative of Clinisys with customers, partners, regulators, auditors, analysts, and investors, combining executive leadership with sufficient technical depth to guide complex decisions and challenge teams constructively.

Building an AI-first organization is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI-enabled, cloud-based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. We apply AI thoughtfully, securely, and responsibly to improve outcomes, strengthen decision-making, and help laboratories operate more effectively at scale.

EXECUTIVE MANDATE | Convert technology strategy into measurable business, customer, and platform outcomes.

• Serve as the CTO’s second-in-command, acting on the CTO’s behalf when required and driving execution of enterprise technology priorities.
• Develop and deliver multi-year technology roadmaps, investment priorities, operating plans, and transformation initiatives aligned with corporate objectives.
• Provide executive leadership across global technology functions and contribute to business planning, board-level discussions, due diligence, and M&A technology assessments.
• Represent technology strategy and delivery with senior customers, partners, regulators, auditors, analysts, and investors.

• Lead engineering effectiveness and SDLC maturity across modern software practices, Dev Sec Ops , CI/CD, test automation, quality engineering, secure development, and AI-assisted delivery.
• Act as the senior architectural authority for enterprise, solution, application, cloud, security, data, integration, and AI architecture, including design standards and governance.
• Guide the evolution of large-scale, multi-tenant, cloud-native and hybrid platforms using appropriate architectural patterns, APIs, workflow orchestration, observability, and resilient distributed systems.
• Ensure technology choices support product strategy, customer needs, security, scalability, maintainability, and long-term portfolio modernization.

• Lead the responsible adoption of AI, including generative and agentic AI, machine learning, MLOps/LLMOps, retrieval architectures, evaluation, security, and governance.
• Own enterprise data and analytics strategy spanning data platforms, engineering, transactional systems, business intelligence, product insights, and executive decision support.
• Establish practical standards for data architecture, modeling, integrity, interoperability, quality, access, and lifecycle management.

• Define and execute cloud and platform strategy across public, private, hybrid, and multi-cloud environments, with strong governance for security, compliance, resilience, cost, and deployment standards.
• Provide executive oversight for Cloud Ops, Dev Ops, SRE, platform engineering, container and Kubernetes strategy, infrastructure as code, automation, observability, incident management, and…