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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in establishing and evolving AI strategies, architecture roadmaps, and engineering standards while leading high-performing teams in delivering enterprise-grade AI solutions. Proficient in embedding security, privacy, and oversight throughout the product lifecycle, ensuring compliance and effective governance.
Highest-signal resume keywords
AI Product DevelopmentSolution ArchitectureTechnical LeadershipSecurity and Privacy IntegrationEnterprise AI Platforms
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 Strategy DevelopmentSolution ArchitectureAPIsData FlowsSecurity MonitoringTechnical EvaluationsProduction ReadinessWorkflow IntegrationPrototypingTechnical Reviews
Soft Skills
Talent LeadershipCoachingDecision MakingProblem SolvingCollaboration
Tools & Technologies
Microsoft CopilotUnifyAppsLeena AIClaudeEnterprise AI Platforms
Industry Keywords
Data-Sensitive EnvironmentsPeople TechnologyHuman OversightAuditabilityRegulatory Compliance
About the role
Key responsibilities & impact- Establish and evolve the People Organization’s technical AI strategy and roadmap
- Define reusable technical patterns, engineering standards, decision frameworks and delivery practices
- Partner with SLT sponsors, People teams and the Execution COE to shape opportunities and determine appropriate solution paths
- Serve as technical and architecture authority for People AI solutions
- Participate directly in prototyping, architecture, workflow and integration design, technical reviews, evaluations and troubleshooting
- Lead approved solutions from discovery through design, build, validation, launch and stabilization
- Build security, privacy, identity, roles, permissions, least-privilege access and People-data protection into the lifecycle
- Partner with IT, Infrastructure, Information Security, Privacy, Legal and enterprise AI-governance teams
- Ensure human oversight, escalation, monitoring, auditability and controls for sensitive decisions and higher-risk use cases
- Retain approval authority over architecture, security, access, integrations, model changes and production readiness
- Define success measures for adoption, quality, capacity released, experience improvement, control effectiveness and sustained ROI
- Complete formal transfer to a named business or product owner after stabilization while retaining technical governance
- Partner on quarterly results readouts and recommendations to scale, improve, hold or retire solutions
- Establish operating interfaces, decision rights, service expectations, escalation paths and lifecycle accountabilities across teams
- Partner with the Workday leader when solutions touch Workday data, processes, roles, integrations or transactions
- Build and lead a high-performing hands-on AI product and engineering team
- Develop talent through coaching, technical reviews, differentiated development, stretch assignments and clear expectations
- Build bench strength and succession capability; evolve roles and hire capabilities where gaps exist
- Use external partners selectively while maintaining internal architecture authority, technical knowledge, accountability and ownership
Requirements
What you’ll need- Bachelor’s degree in computer science, engineering, information systems, data science or a related technical field, or equivalent relevant experience
- 10+ years of progressive technology, software, data or AI experience, including leadership of production and enterprise-grade solutions and teams
- 3+ years of deep hands-on experience designing and delivering AI products, agents, grounded solutions, workflows, integrations and enterprise applications in production
- Technical depth in solution architecture, APIs, data flows, identity, roles and access, security, monitoring, evaluations and production readiness
- Experience developing technical AI strategies, architecture roadmaps, reusable patterns and engineering frameworks
- Experience with Microsoft Copilot, UnifyApps, Leena AI, Claude or comparable enterprise AI platforms
- Experience embedding security, privacy, responsible AI, human oversight and auditability throughout a product lifecycle
- Strong product judgment and experience translating ambiguous business problems into practical solutions and measurable outcomes
- Ability to personally prototype, inspect designs, review technical work, troubleshoot complex issues and lead alongside engineers
- Experience establishing decision rights and operating interfaces across business, product, platform, data, portfolio and control teams
- Demonstrated talent leadership, including differentiated development, bench building, succession planning, hiring and effective use of external partners
- Advanced degree in computer science, engineering, AI, data science or a related field is helpful
- Experience building AI products outside traditional HR or People Technology environments is helpful
- Experience with enterprise copilots, agentic workflows, retrieval-augmented generation, orchestration platforms and model evaluation is helpful
- Experience operating in highly regulated or data-sensitive environments is helpful
- Familiarity with People processes or People technology is helpful but not required
- Employment is contingent upon completion of a required identity verification process
- Must comply with applicable work authorization and employment laws
Benefits
Comp & perks- Salary growth within the position
- U.S. benefits information available
- Required identity verification process, which may include biometric technology where permitted by applicable law
- Virtual interviews conducted on video