We are an automotive supplier, partner to all automakers worldwide. As a technology company, we create innovative products and systems that contribute to the reduction of CO2 emissions and to the development of automated driving. Since 2013 we have been developing in our Prague R&D Center advanced driver assistance systems (ADAS) for smarter cars.

We are looking for a Chief Data Officer in our R&D Center in Prague. The Chief Data Officer (CDO) will play a vital role on the Driving Automation (DA) management team, overseeing DA's data management, data analytics, and data-driven decision-making. The CDO will ensure that all data collected within DA has a defined purpose and reuse strategy. This encompasses shaping and implementing the data strategy, defining and executing data-driven development MTP, managing the company’s data infrastructure, ensuring data privacy and security, and leading the development of data-driven products and solutions across product lines.

YOUR CHALLENGES?

Data Strategy and Governance

• Develop and implement DA's data strategy, aligning it with business goals, particularly for AI-driven driving automation and ADAS solutions
• Create and maintain data governance frameworks to ensure data accuracy, consistency, accessibility, and security
• Promote data integration across R&D, product development, engineering, and digital services

Data Life Cycle Management & Mission Definition

• Define and manage the complete data lifecycle, from acquisition and storage to analysis and deletion
• Establish a clear data mission, encompassing validation, training, and legal data
• Implement data versioning, lineage tracking, and metadata management for improved traceability and usability
• Ensure data access control and data usage across stakeholders and product lines

Data Infrastructure, Architecture & Management

• Oversee the architecture and scalability of data pipelines for ADAS perception, simulation, and validation
• Promote cloud-based and edge computing solutions for optimized real-time data processing
• Design and implement data architecture to support high-volume, high-velocity data ingestion, processing, and analytics, while optimizing the balance of cloud and on-premise resources for cost and performance
• Manage relationships with cloud service providers and ensure robust cybersecurity

Cybersecurity & Data Protection

• Develop and oversee cybersecurity policies to protect sensitive data, in compliance with automotive industry standards and regulations
• Implement strong encryption, authentication, and access control for ADAS data pipelines
• Monitor and mitigate cybersecurity risks related to data storage, processing, and transmission
• Collaborate with IT/IS and security teams to maintain compliance with ISO 21434 and UNECE WP.29 regulations

Fleet Data Mining & Continuous Development

• Create and implement a strategy for using field data to extract valuable insights for continuous ADAS improvement
• Implement the infrastructure for data acquisition, transmission, and analysis
• Upgrade the system to support data sampling during vehicle operation
• Define OTA protocols for data transmission and build a back-end server for data collection and analysis
• Work with OEMs to establish secure data-sharing frameworks for post-production data insights

Data-Driven Development

• Define the DDD strategy to ensure all data has a clear mission and purpose
• Foster a culture of data-driven decision-making across product development and engineering
• Use predictive analytics and machine learning models to enhance functional development
• Establish a framework for algorithm developers to utilize real-time and historical data analytics to refine algorithms
• Ensure data availability and access to measure system performance and drive iterative product improvements

Data Analytics Leadership

• Oversee analytics to gain actionable insights that inform product innovation, customer experience, and operational efficiencies
• Collaborate with data scientists, engineers, and product teams to translate data insights into practical solutions and enhance decision-making

Data Infrastructure and Technology

• Design and optimize data systems and technologies for real-time data collection, storage, processing, and analysis in a highly scalable environment
• Guide the implementation of cloud-based and on-premises data infrastructure to ensure robustness, scalability, and flexibility
• Oversee data pipeline development and deployment to support continuous improvement and real-time monitoring of driving systems and services

Compliance and Data Privacy

• Ensure compliance with data privacy regulations and standards, such as GDPR and CCPA, particularly for driving and personal data
• Implement measures to ensure ethical AI use, including transparency in algorithmic decision-making and data handling

Cross-Functional Collaboration

• Partner with product line and engineering teams to define KPIs and incorporate data-driven insights into product design and development
• Collaborate with executive leadership to align data initiatives with the company’s strategic vision and contribute to revenue growth and market differentiation

Team Leadership and Development

• Build, mentor, and lead a high-performing data team, including data engineers, data scientists, and analysts
• Foster a culture of continuous learning and innovation within the data team to stay ahead of emerging trends in AI, data science, and automotive technology

LET'S TALK ABOUT YOU…

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• At least 10 years of experience in data management, AI, and analytics, with significant leadership experience (preferably in the automotive, AI, or technology sectors)
• Proven expertise in data strategy, data architecture, and AI/ML technologies, particularly in high-volume, real-time data environments
• Strong understanding of data governance, security, privacy regulations, and compliance frameworks
• Experience in managing large-scale data infrastructures and leading cross-functional teams
• Exceptional communication and stakeholder management skills, with the ability to present complex data insights to non-technical stakeholders
• Passion for innovation, particularly in autonomous driving, smart mobility, and connected digital services

Benefits

• Notebook
• Flexible start/end of working hours
• Meal tickets / catering allowance
• Educational courses, training
• Company catering
• Cafeteria
• Contribution to sport / culture / leisure
• Occasional work from home
• Corporate events