Deputy Chief Technology Officer

Clinisys•Tucson, AZ

5h•$210,000 - $265,000•Hybrid

About The Position

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. Clinisys' AI Philosophy: 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.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline required.
15+ years of progressive technology leadership experience, including at least 10 years leading global engineering or technology organizations.
Demonstrated leadership of large, distributed teams and senior leaders across multiple regions, including North America, Europe/UK, APAC, and India.
Broad accountability across software engineering, architecture, cloud/platform operations, cybersecurity, AI, data/analytics, quality, and technology operations.
Extensive experience designing, modernizing, and operating enterprise software platforms in highly regulated environments.
Deep healthcare, laboratory informatics, diagnostics, life sciences, public health, or scientific laboratory market experience.
Executive presence and communication skills suitable for customers, boards, partners, regulators, auditors, analysts, and investors.
Enterprise and solution architecture; cloud-native, hybrid, distributed, event-driven, microservices, domain-driven, and multi-tenant SaaS patterns.
Modern engineering and operational practices, including Agile at scale, DevSecOps, CI/CD, infrastructure as code, SRE, Kubernetes, automation, observability, and performance engineering.
AI and data capabilities, including generative AI, LLMs, agentic systems, RAG/GraphRAG, knowledge graphs, vector databases, MLOps/LLMOps, AI evaluation, governance, and security.
Enterprise data platforms, transactional databases, data modeling, integration, analytics, and business intelligence.
Working knowledge of healthcare interoperability and terminology standards such as HL7, FHIR, ASTM, LOINC, SNOMED, and ICD.

Nice To Haves

Master’s degree preferred
MBA or equivalent business education is desirable
Experience with Microsoft Azure and related data/AI services is strongly valued.

Responsibilities

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, DevSecOps, 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 CloudOps, DevOps, SRE, platform engineering, container and Kubernetes strategy, infrastructure as code, automation, observability, incident management, and service reliability.
Drive measurable improvements in availability, performance, scalability, recovery, engineering productivity, and operational efficiency.
Embed security and privacy into architecture, engineering, cloud operations, identity and access management, threat modeling, vulnerability management, and incident response.
Maintain technology readiness for HIPAA, GDPR, SOC 2, ISO 27001, and other applicable healthcare, quality, and international regulatory obligations.
Oversee engineering governance, validation, software quality, technical risk, and audit support across products and operating environments.
Lead and develop a globally distributed technology organization across North America, the UK and Europe, APAC, and India, building strong leadership capability, succession, accountability, and engagement.
Align engineering, architecture, AI, data, analytics, cloud, security, UX/UI, validation, and low-code capabilities around shared priorities and clear outcomes.
Partner with Product, Commercial, Professional Services, Customer Support, Finance, Legal, and Compliance to accelerate execution and resolve cross-functional barriers.
Engage directly in strategic customer discussions, escalations, technology reviews, and industry forums, connecting customer needs to portfolio and platform decisions.