Global IS Data & Integration Architect - Artificial Intelligence

Ready to take on meaningful challenges and shape the next generation of mobility?

Joining OPmobility means stepping into a global group with a purpose to keep people and goods moving safely, smarter, and sustainably everywhere.

Context

You are joining the Digital & IS Team in OPmobility headquarters in Levallois-Perret. You will report to the Group Enterprise Architect.

Activities

Modelling

Operational

Global IS AI Data & Integration Architecture Must Ensure

• the completeness & coherency of the model,
• agreement of different stakeholders working on the same data,
• definition & respect of best practices (eg: modelling tool best practices usage, ensuring the link between BOM and logical data models in applications, API signatures),
• usability of the model for APIs signatures.
• appropriate presentations and awareness for the whole team working on or using models incl. explanation and links of different kind of data models.
• In the absence of architects or data managers, the global AI Data & Integration architect should be able to ensure the modelling himself.

Strategic & Foundational

Assist the development of required tooling, possible RFPs and suggest missing data architecture capabilities & practices

Data Architecture

Operational

Strategic & Foundational

• Assist the development of required tooling, possible RFPs and suggest missing data architecture capabilities & practices
• Ensure synthetic presentation, communication and awareness des golden sources

Integration

Operational

Strategic & Foundational

• Define good practices of integration patterns, specifications in collaboration with Integration practice, cyber security and platform technical architects
• Ensure communication & awareness of the above practices for all project teams

Assist the development of required tooling, possible RFPs and suggest missing data integration capabilities & practices

Profile

• Master's degree (Bac+5) in Engineering or Computer Science.
• DAMA certification is plus
• Minimum 10 years of experience with :
• at least 5 years of data modelling in different business and projects roles contexts (conceptual modelling of data business requirements, logical modelling of databases, reusable API signatures designs).
• at least 4 years of experience in integration practice
• experiencing different transfer protocols/technologies (ETL, API, Webservice, files transfer, event management, EDIs, Iot exchanges, SAP replications)
• assisting application delivery teams to choose the appropriate protocol/technology depending on project context with definition of pro/cons for each scenario incl. TCO, data load & freshness, delays
• defining standards transfer patterns, documentations and facilitating work of development teams
• Sound knowledge of data architecture (good practices of data dissemination and distribution over applications, golden sources, trusted source concepts) with ability to model CRUDs and data lineage and lifecycle
• Good understanding of different type of data: master, transactional, reference data, unstructured data
• Good understanding of Data Governance concepts and processes incl Data quality criteria
• Knowledge of enterprise architecture concepts (capabilities, processes, applications, flows)
• Knowledge of data base technologies, SAP, MES, SaaS/IaaS, IoT & plants local Edge architectures.
• Good understanding of technical architecture drivers (required SLA, RTO, RPO, hosting)
• Project Management and strategy planning basics in order to assist the domain and project management.

Key behavioral competencies

• Excellent communication and collaboration skills
• Capability to synthetize issues and simplify presentations in order to adapt to different audiences in a pedagogical way
• Strong analytical and problem-solving skills
• Proactive approach to continuous improvement and innovation.
• Ability to prioritize and stay focused in a fast-paced environment.
• Ability to understand and negotiate with customers different requirements, data perspectives and point of view and make them converge on a single data representation
• Able to work with multicultural teams.
• Proficient in English, another language is a plus

At OPmobility, people truly matter.

We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward.

Innovation is therefore not a buzzword, but a natural part of everyday work.

You’ll grow in an international environment where cutting-edge technologies, industrial excellence, and real-world impact come together to tackle the challenges of tomorrow’s automotive industry.

Founded in 1946 by Pierre Burelle, OPmobility, known until 2024 as Plastic Omnium, has transformed itself into a player in sustainable and connected mobility. Today, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions.

With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees across 28 countries, OPmobility combines global scale with local impact. All driven by a shared ambition to accelerate the automotive energy transition.