| | Request Type: | Contract - USA | | Geography: | United States | | Labor Category: | ITUSA | | Procurement Type: | Contingent Labor | | Tax Work Location: | US Default | | Status: | Open | | Submitted: | 4/9/2026 2:45:10 PM | | Has Assignments: | No | |
| | Request: | Information TechnologyUSA - USAConsultant | | Qty: | 1 | | Candidate Submission Limit Per Supplier: | 2 | | Candidate Submission Limit Per Request: | 0 | | Desired Start Date: | 4/24/2026 | | End Date: | 10/24/2026 | | Hrs/Wk: | 40.00 | | MSP Owner: | Gosciminski Kelly | | GBAMS Requisition ID: | | | Estimated Expense: | $0.00 (Sum of Expense * Quantity of Candidates) | |
| | Job Description: | **Please strictly adhere to the following resume naming convention: ALL CAPS NO SPACES B/T UNDERSCORES PTNUSGBAMSREQIDCandidateBeelineID i.e. PTNUS9999999SKIPJOHNSON0413 Bill Rate: $70-75/hr MSP Owner: Kelly Gosciminski Location: Irvine CA - onsite Duration: 6 months GBaMS ReqID: Workday / AI Role 10 15 years of experience in HR Technology Enterprise Applications or Digital Platforms Strong expertise in: Workday architecture and HR processes Integration patterns and enterprise system design Hands-on experience or strong familiarity with: Microsoft Copilot / M365 ecosystem LLM-based platforms (e.g. Claude or similar) AI-enabled enterprise applications Proven ability to: Translate business needs into technical architecture and solutions Work across multiple platforms and systems Strong understanding of: APIs integrations and data flows Security and governance considerations in HR systems Experience working in product-based or platform-based operating models Role Summary We are seeking a senior technically strong HR AI Experience & Architecture Lead to define and evolve our HR Assist platform into a next-generation AI-powered employee experience layer. This role will combine deep Workday and HR domain knowledge strong technical architecture thinking and AI platform expertise to help design how HR Assist connects across systems leverages AI capabilities and delivers a seamless intelligent employee experience. The individual will play a critical role in helping define: How HR Assist evolves beyond a chatbot into a unified HR experience platform How to architect connectivity across Workday Microsoft Copilot Claude Dayforce and other systems Which AI capabilities should be built integrated or leveraged from existing platforms This is not a pure strategy role - it requires hands-on technical thinking architecture mindset and product leadership to translate vision into scalable solutions. Key Responsibilities HR Assist Platform Evolution Define and drive the next phase of HR Assist transforming it from a chatbot into a central AI-powered HR experience layer Design how HR Assist supports: Employee self-service Manager interactions Case management and knowledge access Transactional and advisory HR journeys Identify gaps in current capabilities and define future-state experience vision AI Operating Model & Platform Design Lead the technical thinking and framework design for how AI capabilities are delivered across HR systems Define how HR Assist integrates with: Workday (transactions case management knowledge workflows) Microsoft Copilot (productivity enterprise workflows M365 ecosystem) Claude or similar LLM platforms (advanced reasoning content generation knowledge synthesis) Dayforce and other systems (employee-facing use cases) Evaluate and recommend: What should be built vs integrated vs leveraged Where each platform is best suited How to avoid duplication and fragmented experiences Use Case Engineering & Solution Design Translate HR needs into AI-enabled use cases and technical solutions Lead design of: Intelligent workflows Conversational experiences AI-driven decision support Work closely with: Solution engineers Enterprise architects Data and integration teams to define end-to-end solution architecture Cross-Platform AI Strategy (Execution-Focused) Help operationalize the HR AI strategy and roadmap Define clear patterns and guardrails for: When to use Workday-native AI When to leverage Copilot When Claude (or similar) is more appropriate Ensure HR Assist acts as a cohesive front-end experience regardless of backend platform Technical Depth & Integration Thinking Drive architecture for: APIs and integrations Data flows across systems Real-time vs batch interactions Security and role-based access Partner with engineering teams to ensure solutions are: Scalable Maintainable Aligned with enterprise standards Governance Risk & Responsible AI Help define governance for: AI usage across HR platforms Sensitive HR data handling Model selection and usage boundaries Ensure solutions align with security compliance and ethical AI principles Stakeholder Partnership Work closely with: HR leadership HR technology product teams Enterprise architecture Security and data teams Act as a bridge between business needs and technical execution | |
Summary Information Request Type: Contract - USA Geography: United States Labor Category: ITUSA Procurement Type: Contingent Labor Tax Work Location: US Default Status: Open Submitted: 4/9/2026 2:45:10 PM Has Assignments: No ...
| | Request Type: | Contract - USA | | Geography: | United States | | Labor Category: | ITUSA | | Procurement Type: | Contingent Labor | | Tax Work Location: | US Default | | Status: | Open | | Submitted: | 4/9/2026 2:45:10 PM | | Has Assignments: | No | |
| | Request: | Information TechnologyUSA - USAConsultant | | Qty: | 1 | | Candidate Submission Limit Per Supplier: | 2 | | Candidate Submission Limit Per Request: | 0 | | Desired Start Date: | 4/24/2026 | | End Date: | 10/24/2026 | | Hrs/Wk: | 40.00 | | MSP Owner: | Gosciminski Kelly | | GBAMS Requisition ID: | | | Estimated Expense: | $0.00 (Sum of Expense * Quantity of Candidates) | |
| | Job Description: | **Please strictly adhere to the following resume naming convention: ALL CAPS NO SPACES B/T UNDERSCORES PTNUSGBAMSREQIDCandidateBeelineID i.e. PTNUS9999999SKIPJOHNSON0413 Bill Rate: $70-75/hr MSP Owner: Kelly Gosciminski Location: Irvine CA - onsite Duration: 6 months GBaMS ReqID: Workday / AI Role 10 15 years of experience in HR Technology Enterprise Applications or Digital Platforms Strong expertise in: Workday architecture and HR processes Integration patterns and enterprise system design Hands-on experience or strong familiarity with: Microsoft Copilot / M365 ecosystem LLM-based platforms (e.g. Claude or similar) AI-enabled enterprise applications Proven ability to: Translate business needs into technical architecture and solutions Work across multiple platforms and systems Strong understanding of: APIs integrations and data flows Security and governance considerations in HR systems Experience working in product-based or platform-based operating models Role Summary We are seeking a senior technically strong HR AI Experience & Architecture Lead to define and evolve our HR Assist platform into a next-generation AI-powered employee experience layer. This role will combine deep Workday and HR domain knowledge strong technical architecture thinking and AI platform expertise to help design how HR Assist connects across systems leverages AI capabilities and delivers a seamless intelligent employee experience. The individual will play a critical role in helping define: How HR Assist evolves beyond a chatbot into a unified HR experience platform How to architect connectivity across Workday Microsoft Copilot Claude Dayforce and other systems Which AI capabilities should be built integrated or leveraged from existing platforms This is not a pure strategy role - it requires hands-on technical thinking architecture mindset and product leadership to translate vision into scalable solutions. Key Responsibilities HR Assist Platform Evolution Define and drive the next phase of HR Assist transforming it from a chatbot into a central AI-powered HR experience layer Design how HR Assist supports: Employee self-service Manager interactions Case management and knowledge access Transactional and advisory HR journeys Identify gaps in current capabilities and define future-state experience vision AI Operating Model & Platform Design Lead the technical thinking and framework design for how AI capabilities are delivered across HR systems Define how HR Assist integrates with: Workday (transactions case management knowledge workflows) Microsoft Copilot (productivity enterprise workflows M365 ecosystem) Claude or similar LLM platforms (advanced reasoning content generation knowledge synthesis) Dayforce and other systems (employee-facing use cases) Evaluate and recommend: What should be built vs integrated vs leveraged Where each platform is best suited How to avoid duplication and fragmented experiences Use Case Engineering & Solution Design Translate HR needs into AI-enabled use cases and technical solutions Lead design of: Intelligent workflows Conversational experiences AI-driven decision support Work closely with: Solution engineers Enterprise architects Data and integration teams to define end-to-end solution architecture Cross-Platform AI Strategy (Execution-Focused) Help operationalize the HR AI strategy and roadmap Define clear patterns and guardrails for: When to use Workday-native AI When to leverage Copilot When Claude (or similar) is more appropriate Ensure HR Assist acts as a cohesive front-end experience regardless of backend platform Technical Depth & Integration Thinking Drive architecture for: APIs and integrations Data flows across systems Real-time vs batch interactions Security and role-based access Partner with engineering teams to ensure solutions are: Scalable Maintainable Aligned with enterprise standards Governance Risk & Responsible AI Help define governance for: AI usage across HR platforms Sensitive HR data handling Model selection and usage boundaries Ensure solutions align with security compliance and ethical AI principles Stakeholder Partnership Work closely with: HR leadership HR technology product teams Enterprise architecture Security and data teams Act as a bridge between business needs and technical execution | |
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