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Clarivate

Principal Enterprise Architect

Clarivate

. Shape the enterprise AI strategy, target-state architecture, and multi-year roadmap across enterprise applications and data .

Posted 10/14/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in shaping enterprise AI strategy, architecture, and governance while ensuring compliance with security and regulatory standards. Proven ability to drive AI adoption and literacy through effective stakeholder engagement and training initiatives.

Highest-signal resume keywords
Enterprise AI Strategy DevelopmentGenerative AI ArchitectureData Governance and QualityAI Adoption and Change ManagementMentoring Technology Professionals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Solution ArchitectureData ArchitectureData Quality ManagementAI GovernanceArchitecture ReviewAI Use-Case PrioritizationValue Realization MeasurementEmerging Technology EvaluationBuild-Versus-Buy AnalysisMicrosoft AI Ecosystem
Soft Skills
Stakeholder EngagementInfluencing Senior StakeholdersTraining and EnablementCommunicationLeadership
Tools & Technologies
Microsoft CopilotAzure OpenAI
Industry Keywords
Enterprise ApplicationsAI LiteracyComplianceRisk ManagementPrivacy Standards

Tech Stack

Tools & technologies
Azure

About the role

Key responsibilities & impact
  • 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 with Security, Legal, Risk, and Compliance
  • Meet privacy, security, regulatory, and audit requirements
  • 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
  • Guide successful 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
  • Partner with IT leadership, Enterprise Application Leadership teams, Product Owners, and business functions to guide AI technology investments

Requirements

What you’ll need
  • Bachelor’s degree or equivalent relevant professional experience
  • At least 10 years of relevant professional experience, including at least 5 years 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 data foundations supporting 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
  • At least 3 years of experience mentoring or developing architects or other technology professionals
  • Experience with the Microsoft AI ecosystem, including 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