Note: The job is a remote job and is open to candidates in USA. Ampcus Inc is seeking an Information Technology Project Manager to translate Human Resources business needs into AI-enabled use cases and drive the delivery of AI-driven solutions. The role focuses on end-to-end process design, requirements definition, cross-functional coordination, UAT, defect triage, release readiness, architecture governance, production validation, and continuous improvement in a regulated environment.
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
- Work with AI, chatbot, or conversational AI platforms
- Work within regulated environments, including coordination with cybersecurity, privacy, and compliance (CIP) teams
- Apply Agile delivery practices, including backlog refinement, sprint planning, and defect management
- Work with HR ERP systems such as Workday or similar, and understand HR processes
Skills
- • Demonstrated ability to translate business needs into AI-enabled use cases, including defining problem statements, user scenarios, and success criteria
- • Strong experience designing end-to-end process flows, including user journeys, system interactions, decision points, and exception handling
- • Ability to assess solution viability and architectural impact, partnering with technical teams to evaluate feasibility, integrations, data dependencies, and constraints
- • Experience coordinating and supporting architecture governance processes, including tracking and managing architecture change approvals
- • Expertise in defining AI-specific requirements, such as intents, user inputs, decision logic, response handling, and fallback scenarios
- • Strong delivery management skills, including delivery planning, dependency management, and milestone tracking
- • Experience developing and managing release schedules, ensuring alignment across delivery teams and stakeholders
- • Ability to produce clear and concise status reporting, including risks, issues, progress updates, and executive-level summaries
- • Proven ability to coordinate across cross-functional teams, including business stakeholders, delivery teams, AI/ML teams, cloud engineering, cybersecurity/privacy (CIP), and external partners
- • Experience with User Acceptance Testing (UAT) planning, including defining test scenarios, entry/exit criteria, and stakeholder alignment
- • Ability to facilitate defect triage and prioritization, balancing business impact, technical risk, and release timelines
- • Experience conducting release readiness assessments, ensuring all functional, technical, and operational criteria are met prior to deployment
- • Ability to coordinate and support release sign-off processes, ensuring alignment across business and technical stakeholders
- • Experience supporting business production checkout, validating that solutions meet business expectations post-release
- • Proven ability to lead knowledge transfer (KT) and transition planning, ensuring solutions are handed off effectively for ongoing support and sustainment
- • Strong focus on continuous improvement, including analyzing performance, identifying gaps, and driving enhancements to processes and AI-driven solutions
- • Experience working with AI, chatbot, or conversational AI platforms
- • Experience working within regulated environments, including coordination with cybersecurity, privacy, and compliance (CIP) 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
Benefits
- Remote position - need to work on EST time.
Company Overview
Company H1B Sponsorship