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Schneider Electric

Global energy management and automation provider

Lead Digital Project Manager

Project ManagementConfirmed live in the last 24 hours
Full-timeBarcelona, SpainNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Technology, Data/Analytics, Business, or a related discipline is required.
  • Foundational understanding of project management practices, including planning, milestones, dependencies, risks, issues, actions, and status reporting.
  • Familiarity with Agile principles and Scrum practices, with awareness of SAFe or other scaled Agile approaches used in larger enterprise environments.
  • Comfort working with data, spreadsheets, dashboards, and structured information.
  • Interest in data platforms, analytics, and digital technologies, with the ability and motivation to learn relevant terminology.
  • Practical interest in Generative AI, automation, and AI-enabled workflows, and the ability to validate outputs for accuracy and exercise responsible judgment.
  • Ability to question information, check accuracy, and distinguish useful insight from output that requires further validation.
  • Ability to manage multiple actions, deadlines, and stakeholders in an organized and structured manner.
  • Ability to facilitate team discussions, encourage transparency, support continuous improvement, and help teams identify and resolve delivery blockers.
  • Clear written and verbal communication skills and ability to engage different audiences and follow up on commitments.
  • Proactive and dependable approach, with willingness to take ownership rather than wait for detailed instructions.
  • Adaptability and comfort learning in a changing environment and working with global and cross-functional teams.
  • Sound judgment, attention to detail, and a responsible approach to confidential information and AI-enabled tools.

Responsibilities

  • Manage and coordinate assigned Data PMO initiatives from planning and execution through monitoring, reporting, and closure, with guidance appropriate to their 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 move issues toward resolution.
  • Identify delivery risks, slippage, dependencies, and required decisions; escalate early with a clear summary of impact and recommended next steps.
  • Apply PMO standards and fit-for-purpose project management methods, and continuously improve the structure and quality of project execution.
  • Apply Agile, Scrum, Waterfall, or Hybrid delivery approaches according to each initiative's needs and governance.
  • Where appropriate, facilitate Agile practices including sprint planning, daily stand-ups, reviews, retrospectives, and backlog or action follow-up; surface blockers and keep commitments visible.
  • 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 in a global, matrixed environment while adapting to different working styles, cultures, and time zones.
  • Develop, maintain, and improve project and portfolio reporting, KPIs, dashboards, and management information.
  • Use data analysis to identify trends, inconsistencies, risks, and opportunities to improve 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 terminology used by Data and Technology teams to enable effective coordination and communication.
  • 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 can be simplified, then test and implement practical improvements with appropriate stakeholder alignment.
  • Validate AI-generated outputs for accuracy, relevance, confidentiality, and bias; exercise professional judgment and remain accountable for final deliverables.
  • Share effective practices and lessons learned, contributing to reusable solutions rather than isolated automations.
  • Continuously develop AI literacy and relevant project management, data, and analytical skills.
  • Maintain reliable project documentation, status information, and governance records in relevant enterprise tools.
  • Support consistent application of PMO processes, templates, reporting standards, and control requirements.
  • Track agreed effort, costs, budgets, or financial information for assigned initiatives where required, ensuring accuracy and timely escalation of variances.
  • Translate complex information into structured options, clear actions, and practical recommendations.

Desired Qualifications

  • Relevant academic, internship, or early-career experience in project coordination, PMO, analytics, digital transformation, or technology-enabled business initiatives.
  • Experience acting as a Scrum Master or facilitating Agile ceremonies.
  • Scrum Master, PSM, CSM, SAFe, or equivalent certifications.
  • Experience with Power BI, Jira, Excel, or similar tools.
  • Hands-on Generative AI or automation examples or personal projects.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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