Remote Principal Enterprise Architect – AI & Trials

Job Overview

IQVIA’s 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 global technology landscape with a focus on clinical operations and clinical trial management. 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."

The Principal Enterprise Architect is accountable for co‑designing target‑state enterprise architectures and reference models with business, technology, and product leaders, 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.

• 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.
• 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, Sage Maker).
• 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 are fully rationalized and financially aligned.
• Collaborate 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.
• Identify patterns, shared needs, and reusable platforms and services; surface opportunities to consolidate disparate site management tools, EDC platforms, and patient data systems.
• Guide senior stakeholders through architectural options, trade‑offs, and investment implications using clear, business‑focused narratives and models.
• Articulate how architecture decisions impact trial timelines, regulatory risk, site partner experience, and patient enrollment.
• Translate clinical domain objectives 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.
• Govern and rationalize the EA application and tooling portfolio, including inventories of business, data, and technology assets, and promote consistent adoption of standards across the organization.
• Monitor technology and industry trends (AI/ML, data platforms, lake house governance patterns, etc.) and incorporate relevant innovations into enterprise standards and roadmaps.
• Mentor and influence architects and senior engineers to raise architecture maturity and adherence to enterprise standards across delivery teams.
• Develop coaching and reference architectures that enable clinical product and platform teams to build scalable, interoperable solutions aligned to enterprise standards.

• 15+ years in software development with 10–12+ years in enterprise architecture in large, complex organizations.
• Demonstrated experience owning enterprise‑wide technology strategies and roadmaps, including business architecture, value streams, capability maps, and customer journeys, with financial acumen to ensure portfolio health.
• Recent, relevant enterprise experience with applied data science, AI/ML, and agentic AI…