IT Project Management Senior Advisor

About the Role

This role focuses on translating Human Resources business needs into AI-enabled use cases, designing end-to-end processes, and defining AI-specific requirements. The candidate will be responsible for delivery planning, cross-team coordination, UAT planning, defect triage, and release readiness expertise. The position ensures solution viability, supports architecture governance, manages release activities, and drives continuous improvement of AI-driven solutions in a complex, cross-functional environment.

Key Responsibilities

• Translate business needs into AI-enabled use cases, including defining problem statements, user scenarios, and success criteria
• Design end-to-end process flows, including user journeys, system interactions, decision points, and exception handling
• Assess solution viability and architectural impact, partnering with technical teams to evaluate feasibility, integrations, data dependencies, and constraints
• Coordinate and support architecture governance processes, including tracking and managing architecture change approvals
• Define AI-specific requirements, such as intents, user inputs, decision logic, response handling, and fallback scenarios
• Manage delivery planning, dependency management, and milestone tracking
• Develop and manage release schedules, ensuring alignment across delivery teams and stakeholders
• Produce clear and concise status reporting, including risks, issues, progress updates, and executive-level summaries
• Coordinate across cross-functional teams, including business stakeholders, delivery teams, AI/ML teams, cloud engineering, cybersecurity/privacy (CIP), and external partners
• Plan User Acceptance Testing (UAT), including defining test scenarios, entry/exit criteria, and stakeholder alignment
• Facilitate defect triage and prioritization, balancing business impact, technical risk, and release timelines
• Conduct release readiness assessments, ensuring all functional, technical, and operational criteria are met prior to deployment
• Coordinate and support release sign-off processes, ensuring alignment across business and technical stakeholders
• Support business production checkout, validating that solutions meet business expectations post-release
• Lead knowledge transfer (KT) and transition planning, ensuring solutions are handed off effectively for ongoing support and sustainment
• Drive continuous improvement, including analyzing performance, identifying gaps, and driving enhancements to processes and AI-driven solutions

Requirements

• Demonstrated ability to translate business needs into AI-enabled use cases
• Strong experience designing end-to-end process flows
• Ability to assess solution viability and architectural impact
• Experience coordinating and supporting architecture governance processes
• Expertise in defining AI-specific requirements
• Strong delivery management skills
• Experience developing and managing release schedules
• Ability to produce clear and concise status reporting
• Proven ability to coordinate across cross-functional teams
• Experience with UAT planning
• Ability to facilitate defect triage and prioritization
• Experience conducting release readiness assessments
• Ability to coordinate and support release sign-off processes
• Experience supporting business production checkout
• Proven ability to lead knowledge transfer and transition planning
• Strong focus on continuous improvement
• Experience working with AI, chatbot, or conversational AI platforms
• Experience working within regulated environments, including coordination with cybersecurity, privacy, and compliance teams
• Familiarity with Agile delivery practices, including backlog refinement, sprint planning, and defect management
• Experience working with HR ERP systems such as Workday or similar, and understands HR processes

Qualifications

• Bachelor's degree preferred, but not required
• Candidates should have experience with AI systems like ChatGPT and HR systems like Workday