Sustainability Data & Automation Specialist

Arkema; Courbevoie; Hybrid; EUR 52,000 - 70,000; Full time

Job summary

Arkema is seeking a Sustainability Data Management specialist for an 18-month fixed-term contract in Courbevoie, Île-de-France. The role focuses on collecting, validating, and consolidating sustainability data for regulatory and business needs, with emphasis on process simplification and automation.

You will interact with multiple internal functions, manage large datasets, and contribute to standardized data outputs and dashboards. Strong collaboration and data governance are essential.

Qualifications

• Master’s degree in Environmental Sciences, Chemical Engineering, Chemistry, Materials science or a related technical field.
• Experience or strong academic background in Product Stewardship and/or PCF methodologies.
• Ability to manage, analyze, and report large datasets while handling multiple priorities.
• Good interpersonal skills to operate effectively in a matrix organization.
• Clear written and verbal communication skills.

Responsibilities

• Prepare data and documentation for customer CSR requests and respond to online questionnaires with Corporate Sustainable Development and BU CSR teams.
• Optimize generation, availability and retention of standardized LCA documents.
• Track activity related to sustainability data requests including workflows and access control.
• Contribute to standardization and automation of recurring sustainability data requests and workflows.
• Support regulatory evaluations with PSRA and BU CSR leaders.

Skills

Product stewardship

PCF methodologies

Data analysis

Prioritization

Interpersonal skills

Written and verbal communication

Education

Master’s degree in Environmental Sciences or related field

Tools

Archimedes

Job description

Arkema is seeking a Sustainability Data Management specialist for an 18-month fixed-term contract in Courbevoie, Île-de-France. The role focuses on collecting, validating, and consolidating sustainability data for regulatory and business needs, with emphasis on process simplification and automation.

You will interact with multiple internal functions, manage large datasets, and contribute to standardized data outputs and dashboards. Strong collaboration and data governance are essential.