We are looking for a Principal Enterprise Architect, AI Strategy & Enablement to join our Enterprise Application and Data Services organization in the US.
This is an exciting opportunity to help shape how AI is adopted across the enterprise, translating business ambition into a practical, governed AI architecture strategy and roadmap. You will serve as a senior architectural authority for AI across enterprise applications and data platforms, helping ensure our investments are built on strong data foundations and delivered responsibly, securely, and at scale.
You will work with technology and business leaders across areas including HR, Finance, Legal, and Sales, with a particular focus on generative AI and the Microsoft AI ecosystem, including Copilot and Azure OpenAI.
This is a senior individual contributor role with significant opportunity to influence our enterprise AI direction, mentor other architects, and help turn high-value AI opportunities into scalable solutions.
About You – experience, education, skills, and accomplishments
- Bachelor’s degree or equivalent relevant professional experience.
- At least 10 years of relevant professional experience, including at least 5 years of experience in enterprise, solution, or data architecture roles.
- At least 2 years of experience architecting and delivering AI/ML or generative AI solutions in a scaled environment.
- At least 5 years of experience in data architecture and data governance, including data platforms, data quality, and the data foundations required to support AI at scale.
- At least 5 years of experience partnering with and influencing senior stakeholders, including leading technology or architecture initiatives without direct authority.
- At least 3 years of experience driving technology change management, AI literacy, training, enablement, or adoption programs for business and/or technology teams.
- At least 3 years of experience mentoring or developing architects or other technology professionals.
It would be great if you also have...
- Experience with the Microsoft AI ecosystem, such as Microsoft Copilot and Azure OpenAI.
- Experience architecting generative AI, copilot, or agent-based capabilities within enterprise applications.
- Experience evaluating AI technologies, vendors, and platforms and contributing to build-versus-buy decisions.
- Experience establishing or operating structured AI use-case intake and prioritization processes.
- Experience partnering with business functions such as HR, Finance, Legal, or Sales on enterprise AI initiatives.
- Experience defining or measuring AI adoption, value realization, or architectural compliance.
What will you be doing in this role?
AI Strategy & Roadmap
- Shape the enterprise AI strategy, target-state architecture, and multi-year roadmap across enterprise applications and data.
- Establish scalable architecture patterns and standards for generative AI, copilots, and agent-based capabilities, while evaluating emerging technologies and build-versus-buy opportunities.
AI Governance & Responsible AI
- Define AI governance and responsible AI guardrails, partnering with Security, Legal, Risk, and Compliance to meet privacy, security, regulatory, and audit requirements.
- Conduct architecture reviews and ensure data quality, lineage, access, and classification support trusted and secure AI solutions.
Use-Case Intake & Prioritization
- Establish a structured approach to identify and prioritize high-value AI use cases across functions including HR, Finance, Legal, and Sales.
- Partner with Product Owners and technology leaders to assess value, feasibility, and risk, guiding successful pilots into scalable production solutions.
Enablement, Change & Adoption
- Drive AI literacy and adoption through training, communication, stakeholder engagement, and partnership with business and change leaders.
- Define measures of AI adoption, value realization, and architectural compliance while mentoring architects and providing guidance across AI initiatives.
About the Team
The Enterprise Data & Integration Services team includes enterprise and solution architects, Product Owners, software engineers, data analysts, and other technology professionals supporting enterprise applications, data, integration, and emerging AI capabilities.
As a Principal Enterprise Architect, you will be a senior individual contributor, partnering closely with IT leadership, Enterprise Application Leadership teams, Product Owners, and business functions including HR, Finance, Legal, and Sales to ensure AI technology investments drive efficiency, scalability, colleague experience, and compliance. You will also provide architectural leadership, mentor other architects, and influence technology decisions across teams.
Hours of Work
This is a full-time, permanent position.
This role is hybrid and can be based from our offices in Philadelphia, PA; Kansas City, MO; or Ann Arbor, MI.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Skills Required
- Bachelor's degree or equivalent relevant professional experience
- At least 10 years of relevant professional experience
- At least 5 years of experience in enterprise, solution, or data architecture roles
- At least 2 years of experience architecting and delivering AI/ML or generative AI solutions in a scaled environment
- At least 5 years of experience in data architecture and data governance, including data platforms, data quality, and AI data foundations
- At least 5 years of experience partnering with and influencing senior stakeholders
- At least 3 years of experience driving technology change management, AI literacy, training, enablement, or adoption programs
- At least 3 years of experience mentoring or developing architects or other technology professionals
- Experience with Microsoft Copilot and Azure OpenAI
- Experience architecting generative AI, copilot, or agent-based capabilities within enterprise applications
- Experience evaluating AI technologies, vendors, and platforms and contributing to build-versus-buy decisions
- Experience establishing or operating structured AI use-case intake and prioritization processes
- Experience partnering with HR, Finance, Legal, or Sales on enterprise AI initiatives
- Experience defining or measuring AI adoption, value realization, or architectural compliance
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
