Global Workplace AI & End-User Projects Leader

Blu Selection; Barcelona; Presencial; EUR 100.000 - 130.000; Jornada completa

Descripción de la vacante

Blu Selection is seeking a seasoned Workplace AI & End User Services Project Manager to lead two concurrent IT workplace projects in a multinational setting. You will partner with sales, underwriting, and compliance to ensure governance, timelines, budgets, and quality benchmarks are met.

You will implement agile and DevOps practices, manage risk, drive adoption of MS365 and Generative AI tools, and hand over deliveries to BAU support with training plans and change management.

Formación

• 8+ years IT project and product management in workplace and end-user services.
• Fluent in Spanish, French, and English.
• Experience in governance and risk management.
• Knowledge of MS365 and Generative AI products.
• Experience with Agile and DevOps.

Responsabilidades

• Engage cross-functional teams to establish governance and smooth rollouts.
• Define and monitor the full project perimeter—content, budget, timelines, and quality.
• Identify interdependencies, manage risk registers, and work with senior stakeholders on mitigation.
• Organize and steer Project Committees, coordinating all workstreams for progress.
• Consolidate KPIs, statuses, and budgets into reporting materials for stakeholders.
• Oversee local rollouts, adoption tracking, and deployment plans tied to ROI.
• Facilitate handover to BAU with change management and training plans.
• Ensure alignment with Agile, DevOps, and security standards.
• Produce gating docs, minutes, and project sign-off deliverables.

Conocimientos

Cross-functional

Governance

Risk mgmt

Change mgmt

Agile

DevOps

Stakeholders

Communication

Herramientas

MS365

Generative AI

Descripción del empleo

Blu Selection is seeking a seasoned Workplace AI & End User Services Project Manager to lead two concurrent IT workplace projects in a multinational setting. You will partner with sales, underwriting, and compliance to ensure governance, timelines, budgets, and quality benchmarks are met.

You will implement agile and DevOps practices, manage risk, drive adoption of MS365 and Generative AI tools, and hand over deliveries to BAU support with training plans and change management.