Parts and Service and Circular Economy Data Officer

Mission:

Transform data into actionable insights to drive performance, customer value, and operational efficiency across the global Parts & Services and Circular Economy organization

Main Responsibilities:

Data roadmap

• Define and implement the PSCE data vision and strategy supporting the business strategic goals and aligned with Functions & Regions objectives.
• Benchmark best practices
• Build and scale a high-performing data team to support the growing needs of PSCE.

Data governance

• Establish data governance frameworks (policies, processes, roles, and standards) to ensure data quality, standardization, consistency, regulatory compliance and adequation to business needs in accordance with strategic priorities.
• Build and maintain data pipelines and products so Business teams can implement actionable insights to drive performance, customer value, and operational efficiency across the global PSCE organization (the data infrastructure, frameworks, monitoring are managed by ICT teams).
• Collaborate with AI & Data Ambassadors and Champions to align data initiatives with enterprise-wide AI strategies and community goals.

Projects & Portfolio Support

• Prioritize, coordinate, and monitor data-related projects within the PSCE portfolio, ensuring alignment with strategic priorities.
• Drive quick wins and mid-term initiatives that demonstrate the tangible value of data-driven decision-making.

• Contribute to the continuous improvement of data tools, platforms, and processes to enhance efficiency and scalability.
• Supervise the below current projects:

• STELA Car Parc Calculation by country, region, and vehicle age based on new vehicle sales plans.
• Single Retention KPI: Standardize the calculation of the retention KPI and improve data robustness and relevancy
• Lux: sell-in reporting / sell-out internal reporting / sell-out dealer reporting
• Global PSCE Daily Report

Other projects that could make sense to deep dive:

• Pricing process: use tech data to find the right equivalent part number and save time
• Pricing process: how to use market data to update price in dynamic mode and increase incremental margin
• Retention: how to get robust data?
• Lifetime value: how to measure the LTV of an after-sales customer?
• What is EV and ADAS penetration rate on parts sales?

Innovation & Enablement

• Promote the use of advanced analytics, AI, and machine learning to optimize PS performance.
• Act as a key liaison between Functions, Regions, ICT and external partners on data-related topics.

• Support data literacy across the organization through training, communication, and tool adoption.

• Ensure active participation in the AI & Data Connect community to share insights, promote synergies, and contribute to upskilling and innovation activities.

KPI

• Impact score: value generated from completed data initiatives
• Data-Driven Decision Rate: % of key business decisions supported by data insights.
• Data Quality Index: % improvement in data accuracy, completeness, and consistency over time
• Community-wide metrics or reporting mechanisms used in the AI & Data Connect framework

Basic Qualifications:

• Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or related technical field
• 8+ years of experience in data science, including 2+ years in a leadership role
• Proficiency in Python, R, SQL, and visualization tools (e.g., Power BI, QlikSense, Tableau)
• Experience with machine learning frameworks and cloud platforms (e.g., Snowflake, AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills