Back
Popular program title and broad AI/managed-services scope increases competition despite modest employer brand.
Requires specialized Data/AI delivery, MLOps, and ITSM experience, so background fit is highly domain-specific.
Mandatory 10+ years, PMP/CSM/PSPO/ITIL certifications, and tool mastery create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end Agile lifecycle management of internal AI product portfolio and oversee successful waterfall/hybrid delivery of client Data & AI projects.
Manage 24/7 Managed Services practice operational health, ensuring SLA adherence and driving continuous improvements to reduce MTTR and P1 incidents.
Own and architect enterprise project management and ITSM tooling including automation of reporting and workflow integrations across Product, Services, and Operations.
Minimum 10 years of progressive experience in Technical Project/Program Management with complex, multi-disciplinary portfolios.
Bachelor's degree in Computer Science, Information Technology, or Engineering.
Certifications required: PMP, CSM, PSPO, and ITIL v4 Foundation.
Mandatory skills: Experience managing Data/AI/ML projects, expertise in Agile and Waterfall/Hybrid methodologies, strong ITIL Incident, Problem, Change management experience, and advanced proficiency in enterprise Agile PM (e.g., Jira, Azure DevOps) and ITSM tools (e.g., ServiceNow).
Experienced leader skilled at integrating product development (Agile) with client projects (Waterfall/Hybrid) and operational service delivery.
Strong knowledge of AI/ML lifecycle nuances, cloud professional services, and hands-on understanding of MLOps and data engineering pipelines.
Demonstrated capability to architect and scale project management offices and automate enterprise-level PM and ITSM workflows and reporting.