Cognitive AI Project Manager

Job Purpose:

The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work, 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 by customers.

Qualifications & Experience:

• 7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
• Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
• Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
• Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
• Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
• Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).

Skills & Abilities:

• Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery.
• 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.

Tools:

• Planning & delivery: MS Project / Smartsheet, Jira/Azure DevOps Boards, Confluence
• Reporting: Power BI (status dashboards), Excel/Sheets for RAID and financial tracking
• Collaboration: MS Teams, Miro, Figma
• Documentation & control: SharePoint/GitHub (evidence repositories, IaC deliverables tracking)