Principal Enterprise Architect (Remote) Wayne, PA, United States of America

IQVIAs AI and Technology Solutions (ATS) organization is hiring five Principal Enterprise Architects to define and govern enterprise-wide architecture strategy, standards, and roadmaps across a large, global technology landscape, with particular emphasis on clinical operations and clinical trial management domains. The role sits in the Architecture & Standards (A&S) group and works in close partnership with business, technology, and product leadership to translate strategy and OKRs into standards-driven, scalable enterprise architectures that reduce technical debt, promote reuse, and align to the IQVIA way. Critical to success is deep familiarity with clinical operations and clinical trial management domains, including understanding of study design, site and patient management, regulatory compliance workflows, data integration across clinical and operational systems, and how technology and AI/agent-based capabilities can be applied to optimize trial execution and Clinical Operations efficiency. Preference will be given to candidates with hands-on experience in clinical trial management, site operations, patient cohort management, or related clinical domains, combined with ability to use enterprise architecture tools and capability models as the stable backbone for processes, products, data, and automation across business units. Job overview The Principal Enterprise Architect is accountable for co-designing target-state enterprise architectures and reference models with business, technology, and product leaders, and for prescribing standards, patterns, and guardrails that ensure consistency and scalability across IQVIA. The role provides a portfolio-wide view of business and technical capabilities, surfacing cross-cutting needs and opportunities to consolidate platforms and services in both application and data domains. Within clinical operations and clinical trial management, the architect will establish patterns and standards that govern how data flows across trial planning, site activation, patient recruitment, data collection, and trial closeout workflows, ensuring that technology investments support operational excellence and regulatory compliance. Key responsibilities

• Co-design and maintain enterprise architecture principles, standards, and reference architectures in partnership with business, technology, and product leaders, with explicit focus on clinical operations and clinical trial management to ensure that architecture patterns reflect the realities of study execution, site management, regulatory compliance, and patient safety.
• Define target enterprise data, AI, and interoperability reference architectures, including standard patterns for event driven architectures (e.g., Kafka), API management (e.g., Apigee, Azure API Management, Kong), and AI/ML platforms (e.g., Azure ML, SageMaker), and ensure initiatives align to these standards and roadmaps. Within clinical domains, establish patterns for EDC integration, clinical data warehousing, site and patient data orchestration, and agentic AI for trial feasibility, site matching, and cohort discovery.
• Partner with business units to translate strategies and OKRs into capability- and outcome-based architecture roadmaps that must with fully rationalized financials and an applied knowledge of, rather than project-specific solutions. In clinical operations, this includes collaborating with trial operations, site engagement, patient recruitment, and data management leaders to build roadmaps that optimize study start-up timelines, site activation efficiency, patient enrollment velocity, and data quality.
• Provide an enterprise-wide view of interrelated business and technical capabilities, identifying patterns, shared needs, and reusable platforms and services. In Clinical Operations contexts, surface opportunities to consolidate disparate site management tools, EDC platforms, and patient data systems, and identify where agentic AI and automation can reduce manual operational burden.
• Guide senior stakeholders through architectural options, trade-offs, and investment implications using clear, business-focused narratives and models. For clinical initiatives, articulate how architecture decisions impact trial timelines, regulatory risk, site partner experience, and patient enrollment.
• Ability to translate clinical domain objectives (study, regulatory requirements, and site/patient operational constraints) into reusable capability models and architectural blueprints that enable consistent, scalable trial delivery across geographies and therapeutic areas.
• Use enterprise architecture tools (e.g., LeanIX, Ardoq, MEGA) to define and maintain stable capability models and EA meta-models; map capabilities to processes, systems, products, outcomes, and key data domains; and support intake of new ideas into the enterprise roadmap through formalized architecture governance and portfolio intake processes and manage financial health across the portfolio In clini

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