Cognitive AI Project Manager

Duties and Responsibilities

• Own end-to-end delivery plan: milestones, workstreams, 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 TASMU 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.

Skills & Abilities

• Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery.br>Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
• Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
• Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
• Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
• Ability to drive outcomes through influence and structured governance, not just task tracking.