Req I D
Drive ideation across the organization and the automotive industry
Drive data vision, strategy, and execution. Drive alignment and support across the organization through collaboration, communication, and transparency.
Lead the design, architecture, development, and operationalization of an enterprise class data platform
Oversee the data platform organization, inclusive of data engineering, data science, data analytics and data architecture
Identify opportunities for data-driven applications that will improve the customer experience automation and machine learning
Influences senior leaders and all levels of business and R&D staff on all areas of the architecture, including policies, standards, strategies, and governance. Translate company business strategy into concrete solutions, design and execute an systems architecture blueprint to support that strategy
Provide technical leadership while developing and maintaining relationships with Product Management, Architecture, Operations and other internal external groups
Proven data literacy, i.e. the ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
Experience in information strategy definition, technology planning and execution related to data management and data governance
Proven experience extracting, transforming and integrating structured and unstructured data sources for very large volumes of data for both real time and batch processing
Proven record of effective leadership, including the ability to balance team and individual responsibilities; building teams and consensus; getting things done through others not directly under his/her supervision; working ethically and with integrity
Proven experience with data warehousing and Big Data infrastructure platform implementations
Experience in leading teams and mentoring team members
Experience with performance and scalability analysis, testing and optimization.
Experience designing and implementing scalable, fault tolerant, distributed solutions/services.
Significant breadth and depth of technologies in the areas of: Cloud solutions and deployments, preferable AWS and GCP; Services patterns, application containers, and API gateway.