Deputy Chief Technology Officer

Role overview Serve as the technology chief executive’s principal deputy, turning enterprise strategy into coordinated execution across engineering, architecture, AI, data, cloud, security, quality, user experience, and global operations. The role steers modernization and platform performance in regulated markets, while representing technology decisions to customers, partners, regulators, and other senior stakeholders.

Responsibilities - Drive multi-year technology roadmaps, investment priorities, operating plans, and transformation initiatives aligned with business objectives. - Lead global technology functions and contribute to business planning, board discussions, due diligence, and technology assessments for acquisitions. - Guide engineering effectiveness, architecture, secure development, delivery practices, quality, and AI-assisted engineering. - Oversee platform modernization and operational outcomes, including reliability, security, compliance, cloud performance, and cost. - Represent technology strategy and delivery with customers, partners, regulators, auditors, analysts, and investors. - Build organizational strength through leadership development, succession planning, and clear performance measures.

Requirements - 15+ years of progressive technology leadership, including at least 10 years leading global engineering or technology organizations. - Experience leading large, distributed teams and senior leaders across multiple regions. - Broad responsibility across software engineering, architecture, cloud operations, cybersecurity, AI, data, quality, and technology operations. - Extensive experience designing, modernizing, and operating enterprise software platforms in regulated settings. - Deep experience in healthcare, diagnostics, laboratory informatics, life sciences, public health, or scientific laboratories. - Executive communication skills for technical and senior business audiences. - Bachelor’s degree in computer science, engineering, information technology, or a related field.

Nice to have - A master’s degree; business education such as an MBA is desirable. - Experience with cloud-native and distributed systems, DevSecOps, CI/CD, SRE, Kubernetes, and observability. - Knowledge of generative AI, LLM systems, retrieval, AI evaluation and governance, data platforms, and Microsoft Azure services. - Familiarity with healthcare standards such as HL7, FHIR, LOINC, SNOMED, or ICD.

Benefits and work setup - The listed annual base salary range is $210,000–$265,000; actual pay may vary with location, qualifications, and experience. - Benefits may include health and wellness coverage, retirement and stock purchase plans, paid leave, parental leave, and tuition assistance. - Work may be office-based or remote. Travel of up to 50% domestically and internationally may be required.