The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within Client Project 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration).
The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption
DUTIES & RESPONSIBILITIES
Own end-to-end delivery plan: milestones, work streams, resource plan, budget tracking, and integrated master schedule.
Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).
Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.
Ensure delivery aligns to architecture/security/data governance gates (design reviews, approvals, exception handling).
Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).
Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.
Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.
Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.
Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).
Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations
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