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The AI & Data Analytics Architect designs and implements enterprise AI and data analytics solutions, primarily in the cloud using Azure, while ensuring governance and security compliance.

Coordinates technical and non-technical IT projects from planning through delivery. Maintains project schedules, budgets, forecasts, resources, risks, issues, dependencies, and documentation; supports financial tracking and resource allocation; communicates status through dashboards, metrics, and KPIs; and collaborates with IT teams, business partners, vendors, and stakeholders. Applies project management methodologies and contributes to PMO governance, process improvements, automation, AI-assisted delivery, and reporting enhancements.

Translates business objectives, processes, data, and user needs into detailed solution specifications, business rules, scenarios, acceptance criteria, and testable requirements. Partners with business and technology teams throughout delivery, validates implementations, manages traceability, supports testing and release readiness, and identifies process-improvement, automation, data-quality, and responsible AI opportunities. The role also defines data requirements, investigates discrepancies, facilitates decisions, and supports adoption and benefits measurement.

Manage end-to-end indirect procurement activities for MRO, facilities, and services. Handle requisitions, POs, supplier coordination, onboarding, contract compliance, and spend analysis to identify cost savings and support reporting.

Lead development and support of CI/CD and automated deployment pipelines, implement continuous delivery, automate testing and compliance checks, monitor systems, develop tools for operational efficiency and anomaly detection, act as Azure DevOps SME, manage Nexus, mentor DevOps engineers, and participate in incident response.