Fiat Chrysler Automobile Head of Data Engineering and Architecture in Remote, United States
Head of Data Engineering and Architecture
Job ID: 1045642
Career Area: NextGen/Tech
Job Category: NextGen/Tech
Date Posted: November 24, 2021
Brand: FCA Group
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The Global Analytics and Data Products Team is looking for a Data Engineering expert. As a thought leader within the team, your mission is to put the science into decision making for all software or HW connected features.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
Design and execute a roadmap to build and optimize data products to deliver high-quality, trustworthy data
Lead, design and optimize data pipelines in support of descriptive analytics, data science, and ML
In partnership with the Head of AI, develop data pipelines to support onboard and off board training of applications
Build a data platform for data storage, management and processing at scale, including scheduling and libraries
Develop and implement a global data governance strategy to ensure data privacy compliance with GDPR and CCPA
Partner with Software leaders in the creation of a standardized instrumentation approach for all software features
Design and implement an experimentation platform for the agile, but secure, testing of all software features
Drive continual improvements for reliability, performance, scalability and quality and own associated budgets & KPIs
Build and mentor a world class team, expanding the impact and reach of data at Stellantis
Top Performers will be able to demonstrate
Successful advocacy, coaching, thought leadership and development opportunities for managers and direct reports
Consistently demonstrates the ability to identify and meet the needs of others in their team and across the company
Successful influencing of non-technical peers and senior leadership to deliver substantive change
Measurable consumer engagement impact through analysis, statistical models or products built
Measurable revenue impact through analysis, statistical models or products built
Measurable consumer experience impact through analysis, statistical models or products built
Qualitative and quantitative deductions from experimentation that lead to product optimization
A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills, Michigan. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.
Great mobility solutions start with great people! This is an exciting time to join us!
Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today. The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work.
MA/ MSc required with technical focus (e.g. Statistics, Computer Science, Physics, Engineering, etc.)
10+ years of experience in the data engineering and software development life cycle
10+years of hands-on experience in building and maintaining production data applications, current experience in both relational and distributed columnar data stores
Comprehensive experience using SQL, Python, and Spark
Significant experience working with cloud Big Data platforms (i.e. AWS Redshift, Google BigQuery, Azure Data Warehouse, etc.)
Expert knowledge of time series database, data streaming applications, Kafka, Flink, and more
Comprehensive experience with workflow management engines (i.e. Airflow, Luigi, Azure Data Factory, etc.)
Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.
Comprehensive experience with predictive and prescriptive modeling/ machine learning
Deep product sense, with a solid understanding of user engagement and monetization strategies for software
Be active in the industry, recognized for the application of science within your industry
Exemplifies multidimensional skill sets — data engineering, experimentation, software development, etc.
Being a renowned champion for best practices within the analytics, data, and engineering teams
Provides context, not control, remaining highlight aligned but loosely coupled to your team
Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
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