FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in shaping enterprise AI strategy, establishing scalable architecture patterns, and driving AI literacy and adoption across various business functions. Proficient in evaluating AI technologies and ensuring compliance with governance standards while mentoring technology professionals.
Highest-signal resume keywords
Enterprise AI Strategy DevelopmentGenerative AI ArchitectureData Governance and QualityAI Literacy and Change ManagementStakeholder Engagement and Influence
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Solution ArchitectureData ArchitectureAI GovernanceData Quality ManagementGenerative AI CapabilitiesAI Use-Case PrioritizationMicrosoft AI EcosystemAzure OpenAIArchitecture ReviewTechnology Evaluation
Soft Skills
MentoringStakeholder EngagementCommunicationTraining and EnablementInfluencing
Tools & Technologies
Microsoft CopilotAI PlatformsData PlatformsEnterprise Applications
Industry Keywords
AI StrategyData GovernanceChange ManagementEnterprise ApplicationsRisk and Compliance
Tech Stack
Tools & technologiesAzure
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
- 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 AI 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
- Influence technology decisions across teams
Requirements
What you’ll need- 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 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 HR, Finance, Legal, or Sales on enterprise AI initiatives
- Experience defining or measuring AI adoption, value realization, or architectural compliance
Benefits
Comp & perks- Equal employment opportunities for all qualified persons
- Full-time, permanent employment