Global IS Data & Integration Architect - Artificial Intelligence

OPmobility; Levallois-Perret; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

OPmobility is seeking an experienced Data/IS Architect to join the Digital & IS Team at the Levallois-Perret headquarters. You will report to the Group Enterprise Architect and lead data modelling, integration architectures and governance across the organization.

The role emphasizes modeling completeness, stakeholder alignment, API signature best practices, data lineage, and synthetic data presentation, with collaboration across integration, cyber security and platform architects.

Qualifications

• Master's degree (Bac+5) in Engineering or Computer Science.
• DAMA certification is a plus.
• Minimum 10 years of experience with data modelling.
• Experience in data integration and governance concepts.
• Knowledge of enterprise architecture and data management practices.

Responsabilités

• Modeling data architectures and integrations to ensure coherency of the models.
• Collaborate with integration, cybersecurity and platform architects.
• Define good practices of data integration patterns and API signatures.
• Support project teams and stakeholders with data architecture guidance.
• Assist tooling development and RFPs related to data architecture.

Connaissances

Data modelling

Data governance

Analytical thinking

English proficiency

Formation

Master's degree in Engineering or Computer Science

DAMA certification (plus)

Outils

SAP

MES

SaaS/IaaS

IoT

Edge architectures

Description du poste

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.