About the role
Descripción del empleo
The main purposes of this position are the following: ● Deliver Project management artifacts, such as timeline, deliverables, communications plan… ● Coordinate any project related activities with the required stakeholders. ● Project financial controls, business case, financial project tracking…. ● Communicate appropriately around issues and opportunities – get things done, make things happen. ● Remove all obstacles to stakeholders satisfaction and / or financial performance.
MAIN ACTIVITIES / RESPONSIBILITIES ● Governance & Executive Support. The PM will act as the glue between technical teams and executive leadership, ensuring AI initiatives remain compliant and aligned with business goals. ● Assessing capacity needs, identifying resource gaps, and coordinating team backfills. ● Liaising with procurement, vendor management, and external implementation partners. ● Steering Committee (SteerCo) Management: Prepare monthly briefing packs, track decision logs, and manage the agenda for executive stakeholders. ● External Presentations: Draft high-impact decks and talk tracks for industry conferences, board meetings, or client-facing digital transformation showcases.
Requisitos
Level of education/qualifications normally required: - Bachelor’s Degree in Information Technology or related discipline. - Project management certification. o Primary: PMP o Secondary: SCRUM. - ITIL v3 certified. - Specific work experience: - Experience working with offshore outsourcing organizations. - Experience in global roll-out management. - At least 5 years of experience in the domain (Project Management) - Digital transformation, AI, target operating model design. - Ability to translate "Data Science" speak into "C-Suite" speak. - Technical / functional skills: - Understanding of LLM lifecycles. - Data tokenization - Jira - Financial & Vendor Governance: Ability to manage commercial SOWs, RFP evaluations for alternative AI vendors, budget tracking, and CAPEX/OPEX cost controls - Core AI Platform Comprehension: Understand basic principles of AI platforms, multi- cloud infrastructure and foundational components