Principal Enterprise Architect
About The Position
Clarivate is seeking a Principal Enterprise Architect, AI Strategy & Enablement, to join its Enterprise Application and Data Services organization in the US. This senior individual contributor will shape enterprise AI adoption by translating business objectives into a practical, governed AI architecture strategy and roadmap. The role serves as a senior architectural authority for AI across enterprise applications and data platforms, helping ensure investments have strong data foundations and are delivered responsibly, securely, and at scale. The focus includes generative AI and the Microsoft AI ecosystem, including Copilot and Azure OpenAI. The architect will collaborate with technology and business leaders across HR, Finance, Legal, and Sales; establish architecture patterns and standards; define governance and responsible AI guardrails; and guide high-value use cases from prioritization and pilots to scalable production solutions. The position also drives AI literacy, enablement, adoption measurement, and mentoring of architects. The Enterprise Data & Integration Services team includes enterprise and solution architects, Product Owners, software engineers, data analysts, and other technology professionals. The role partners closely with IT leadership, Enterprise Application Leadership teams, Product Owners, and business functions. It is a full-time, permanent, hybrid position based in Philadelphia, Pennsylvania; Kansas City, Missouri; or Ann Arbor, Michigan.
Requirements
- 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 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- Evaluate emerging technologies and build-versus-buy opportunities.
- Define AI governance and responsible AI guardrails in partnership with Security, Legal, Risk, and Compliance.
- Help meet privacy, security, regulatory, and audit requirements for AI initiatives.
- Conduct architecture reviews and ensure data quality, lineage, access, and classification support trusted and secure AI solutions.
- Establish a structured approach to identify and prioritize high-value AI use cases across HR, Finance, Legal, and Sales.
- Partner with Product Owners and technology leaders to assess value, feasibility, and risk, and guide pilots into scalable production solutions.
- 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.
- Mentor architects and provide guidance across AI initiatives.
- Influence technology decisions and enterprise AI direction across teams.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
