Lead, Digital Project Manager

Schneider Electric Corp; Bellprat; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Schneider Electric's Data PMO is seeking a Lead, Digital Project Manager to coordinate initiatives supporting the Data Platform and enterprise project portfolio. You will ensure work is structured, governed, and delivered against objectives.

Ideal candidates combine solid PMO fundamentals with analytical thinking, clear communication, and stakeholder collaboration. Exciting opportunity in Barcelona for a globally connected digital hub.

Formación

• Minimum experience in project management with PMO exposure.
• Strong stakeholder communication and coordination skills.
• Experience with data analytics and reporting.

Responsabilidades

• Coordinate Data PMO initiatives from planning to closure with clear ownership.
• Build and deliver updates, dashboards, and decision summaries for stakeholders.
• Develop and improve portfolio reporting, KPIs and analytics insights.
• Explore AI, automation and analytics to enhance planning, reporting and risk visibility.

Conocimientos

Project management

Stakeholder communication

Data analytics

AI & automation literacy

Agile methodologies

Cross-functional collaboration

Herramientas

PMO tools

Dashboards

Data platforms

Descripción del empleo

We are yourEnergy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all.

At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

Schneider Digitalis the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing.

We are looking for a motivated, high-potential professional to join the Data PMO as a Lead, Digital Project Manager. The role will manage and coordinate defined initiatives supporting the Data Platform and enterprise project portfolio, helping ensure that work is structured, governed, transparent, and delivered against agreed objectives.

The successful candidate will combine sound project management fundamentals with analytical thinking, clear communication, stakeholder coordination, and a willingness to learn. They will work with Project Managers, Data & Technology teams, business stakeholders, and other PMO colleagues to coordinate plans, monitor progress, manage risks and actions, and turn information into useful insights for decision-making.

We value someone who is curious, accountable, adaptable, and motivated to grow. AI, automation, and analytics should be embraced as capabilities that strengthen professional judgment, improve productivity, and raise the quality of delivery—not as substitutes for ownership, critical thinking, or collaboration.

Key Responsibilities

Project Management & Initiative Ownership

• Manage and coordinate assigned Data PMO initiatives, from planning and execution through monitoring, reporting, and closure, with an appropriate level of guidance based on complexity.
• Maintain project plans, milestones, actions, dependencies, RAID logs, decisions, and deliverables, ensuring clear ownership and timely follow-up.
• Coordinate contributors across Data, IT, business, and other functions to keep activities aligned and issues moving toward resolution.
• Identify delivery risks, slippage, dependencies, and decisions required; elevate early with a clear summary of impact and recommended next steps.
• Apply PMO standards and fit-for-purpose project management methods, while continuously improving the structure and quality of project execution.
• Apply fit-for-purpose delivery approaches, including Agile, Scrum, Waterfall, or Hybrid methods, according to the needs and governance of each initiative.
• Where appropriate, facilitate Agile team practices such as sprint planning, daily stand-ups, reviews, retrospectives, and backlog or action follow-up; help surface blockers and keep commitments visible.

Stakeholder Communication & Collaboration

• Build constructive working relationships with project stakeholders and maintain clear, concise, and proactive communication.
• Prepare project updates, management presentations, dashboards, meeting materials, and decision summaries tailored to the audience.
• Facilitate meetings and working sessions, clarify actions and accountabilities, and follow through to secure outcomes.
• Work effectively in a global, matrixed environment, adapting to different working styles, cultures, and time zones.
• Demonstrate the confidence to ask questions, clarify ambiguity, challenge constructively, and raise concerns professionally.

Data, Analytics & Portfolio Reporting

• Develop, maintain, and improve project and portfolio reporting, KPIs, dashboards, and management information.
• Use data analysis to identify trends, inconsistencies, risks, and opportunities for improved portfolio visibility and decision-making.
• Support data quality, consistency, and governance across project information and PMO tools.
• Build familiarity with data platforms, analytics concepts, and the terminology used by Data & Technology teams, enabling effective coordination and communication.

AI, Automation & Continuous Improvement

• Actively explore and apply approved AI tools, automation, and analytics to improve project planning, reporting, meeting outputs, action tracking, and risk visibility.
• Identify repetitive or manual PMO activities that could be simplified, then test and implement practical improvements with appropriate stakeholder alignment.
• Validate AI-generated outputs for accuracy, relevance, confidentiality, and bias; apply professional judgment and remain accountable for final deliverables.
• Share effective practices and lessons learned, contributing to reusable solutions rather than isolated automations.
• Demonstrate a growth mindset by continuously developing AI literacy and relevant project