Product Owner

Role & responsibilities

• Lead the development and execution of digital products and solutions for engineering and EPC environments.
• Collaborate with multidisciplinary engineering teams, project management teams, and business stakeholders.
• Define product vision, roadmap, priorities, and delivery strategy using Agile methodologies.
• Drive digital transformation initiatives involving engineering data, analytics, AI, automation, and integration platforms.
• Manage cross-functional teams comprising engineering, digital, and software development professionals.
• Coordinate with internal and external stakeholders to ensure successful delivery of digital solutions.
• Ensure alignment of product development activities with business objectives and project execution requirements.
• Support data governance, engineering data management, and engineering document management initiatives.
• Promote innovation and adoption of emerging technologies including AI, automation, APIs, and advanced analytics.
• Monitor product performance and continuously improve solutions based on user feedback and business requirements.

Preferred candidate profile

• 15+ years of overall professional experience.
• Minimum 3-5 years of experience working within EPC project execution environments as part of:
• Project Management Team (PMT), or
• Engineering Team during EPC execution phases.
• Proven experience delivering digital transformation or digital product initiatives.
• Hands-on experience working in Agile/Scrum product development environments.
• Experience managing multidisciplinary engineering and digital delivery teams.
• Strong understanding of engineering workflows, project execution, and digitalization within EPC organizations.

EPC & Engineering

• Strong understanding of EPC project lifecycle and execution phases.
• Experience working with multidisciplinary engineering teams.
• Knowledge of engineering processes and project controls.

Digital & Data

• Strong digital mindset with experience in:
• Digital Product Development
• Agile Delivery
• Data Analytics
• Data Governance
• Artificial Intelligence initiatives
• Understanding of digital transformation programs within engineering organizations.

Programming & Technology

Experience in one or more of the following:

• Python
• Power BI
• AI/ML solutions
• APIs & System Integrations
• Data Analytics Platforms

Engineering Applications

Knowledge of industry-standard engineering tools such as:

• AVEVA
• Hexagon
• Autodesk Ecosystem

Document & Data Management

Experience with Engineering Document Management Systems (EDMS), such as:

• New Prodom
• Meridian
• Similar Engineering Data Management Platforms

Leadership & Soft Skills

• Excellent stakeholder management and collaboration skills.
• Strong communication, presentation, and reporting abilities.
• Proven leadership in coordinating and guiding technical delivery teams.
• Ability to work effectively across multiple interfaces and geographies.
• Self-driven and capable of managing priorities independently.
• Comfortable working in fast-paced environments with a "Start Small, Think Big, Move Fast" mindset.
• Strong problem-solving, innovation, and decision-making capabilities.
• Proactive approach toward AI adoption and digital innovation.
• High adaptability, curiosity, and continuous learning mindset.

Language Requirements

• Professional proficiency in English (C1 or above) - Mandatory.
• Professional proficiency in French (B1 or above) - Preferred.