Senior Project Manager Data con inglés alto - Madrid Híbrido

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.

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