Director, Enterprise AI Architecture

Purpose

As Director, Enterprise AI Architecture & Transformation, you will lead the design, delivery, and scaling of secure, responsible, and business-aligned AI solutions that advance Clinisys’ digital transformation. This is a strategic leadership role—partnering closely with the Office of the CTO, Product & Engineering, Cyber Security, Data, Operations, and business leaders to translate priorities into integrated, end-to-end capabilities that drive speed, experience, and measurable outcomes.

You will be accountable for both the architecture and the realization of transformation results. This includes owning the AI roadmap, operating model, and performance metrics to increase automation, reduce cycle times, and enhance user and customer experience. You will lead a small team of AI engineers/architects, influence cross-functional stakeholders, and drive disciplined execution with urgency and strong governance.

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. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities.

Operating across more than 30 countries, Clinisys expects all colleagues, regardless of role or function, to work confidently with AI-enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve. We must drive an AI-first sense of purpose and urgency.

• Lead enterprise AI architecture and digital transformation initiatives aligned to business strategy and enterprise priorities
• Act as a proactive transformation driver by identifying high-value opportunities and shaping end-to-end future-state workflows
• Own the transformation roadmap, including prioritization, dependencies, and value realization
• Influence cross-functional leaders to align priorities, remove barriers, and accelerate execution

• Lead the design and implementation of AI/ML and GenAI solutions aligned to enterprise architecture standards and transformation goals
• Guide development of scalable solutions including retrieval-augmented generation (RAG) pipelines, orchestration workflows, and enterprise integration patterns
• Ensure solutions are secure, resilient, reusable, and enable measurable improvements to business workflows
• Partner with Engineering to deliver high-performing, production-ready AI services across enterprise environments

• Own measurable outcomes including automation, cycle time reduction, experience improvement, and adoption
• Define and track KPIs such as automation rates, turnaround times, user experience metrics, and time-to-value
• Establish performance scorecards and lead regular operating reviews to ensure delivery of business outcomes
• Ensure initiatives are governed and executed to deliver value realization, not just technical completion

• Drive delivery of integrated, end-to-end digital capabilities across Product, Engineering, Data, Operations, and business teams
• Establish shared accountability across functions for process, data, and experience improvements
• Communicate priorities, risks, and outcomes clearly to technical and executive stakeholders
• Embed change management and adoption strategies to ensure successful implementation at scale

• Implement enterprise AI architecture standards, MLOps practices, and governance frameworks
• Ensure compliance with privacy, security, and responsible AI requirements in partnership with Cyber Security and Compliance
• Continuously improve frameworks, tools, and operating models to support scalable transformation

• Proven experience designing, delivering, and scaling AI/ML or GenAI solutions in production…