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. 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. 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. Essential Functions: Enterprise Transformation Leadership

• 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

Architecture & Solution Delivery

• 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

Transformation Outcomes & Performance Management

• 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

Cross-Functional Leadership & Execution

• 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

Governance, Risk & Standards

• 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

Skills Needed for Success:

• Proven experience designing, delivering, and scaling AI/ML or GenAI solutions in production environments with measurable business impact
• Demonstrated success leading enterprise transformation initiatives that improved automation, reduced cycle times, enhanced user or customer experience, and increased adoption
• Experience with MLOps practices, including model lifecycle management, deployment pipelines, monitoring, and value realization governance
• Deep experience developing GenAI solutions such as RAG pipelines, orchestration frameworks, automation techniques, and evaluation approaches
• Strong understanding of enterprise architecture, business process transformation, and cross-functional operating models
• Knowledge of data security, privacy, access controls, and responsible AI principles including bias, drift, transparency, and governance
• Strong leadership and influencing skills, with the ability to align stakeholders, drive decisions, and mobilize teams across organizational boundaries
• Strong communication skills, with the ability to translate complex technical concepts into clear business recommendations and outcome-oriented plans
• Extensive experience in regulated environments or healthcare/life sciences is a plus

Required Experience and Education

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience
• 10+ years of experience in software engineering, enterprise architecture, or machine learning engineering
• 7+ years of experience leading teams and cross-functional programs in a managerial or director-level capacity
• Demonstrated experience owning enterprise roadmaps, influencing senior stakeholders, and delivering measurable transformation outcomes

Onboarding: As part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment (Raleigh, NC / Tucson, AZ / Carmel, IN). This requirement is essential for onboarding activities, including the identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures. Benefits: Our benefits for Full Time employees are designed to help you move forward in your career, and in areas of your life outside of work. From health and wellness benefits, 401 (k) Savings Plan, stock incentive programs, paid time off, parental leave, and tuition assistance, we've got you covered with our total rewards package. The starting pay range for a candidate selected for this position who is generally within the range of $150,000 - $180,000 for annual base salary. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below this range. Physical Requirements:

• Work is performed in a normal office or setting with minimal exposure to health or safety hazards. Prolonged periods of sitting at a desk and working on a computer.
• Up to 50% travel may be required
• Moderate lifting/carrying 15-44 lbs.; use of fingers; walking/standing 2-6 hours
• Exposure to hazardous materials or various weather conditions
• Travel to client sites that can pose risk associated with healthcare organization
• May be required to follow customer location health and safety requirements

Clinisys’ Commitment to Equal Opportunity: Clinisys is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. General Guidance: This job description is meant to provide an accurate depiction of tasks and accountabilities that are most often associated with this role. While we strive to provide an accurate depiction, nothing in this description restricts the company from changing, reassigning, expanding or reducing scope of accountability.

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