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At Ford Motor Credit Company, we are modernizing our enterprise data warehouse in Google Cloud to enhance data, analytics, and AI/ML capabilities, improve customer experience, ensure regulatory compliance, and boost operational efficiencies.
As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products and application support. You will oversee the integration of data from various sources, guiding the evolution of our analytical data landscape, including the merging of historical data from legacy platforms with data ingested from new platforms. Your role involves directing the analysis and manipulation of large datasets, ensuring the activation of data assets to enable enterprise platforms and analytics within Google Cloud Platform. You will also lead the design and implementation of data transformation and modernization initiatives on Google Cloud Platform, ensuring the creation of scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions.
You will guide your team in conducting deep-dive analyses, including those related to Current State Receivables and Originations data within our data warehouse, performing impact analysis related to Ford Credit North America's modernization efforts and providing strategic implementation solutions. This role requires significant experience supporting North American teams. Moreover, you will lead cross-functional efforts, partnering closely with our AI, data science, and product teams to develop innovative data solutions that build the future for Ford Credit. You will coach and mentor your direct reports, fostering professional growth and technical expertise. You will also work directly with the Director of Data Engineering, based in the United States, collaborating on strategic direction and execution.
We require demonstrated leadership in designing, implementing, and operationalizing large-scale data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments. We are looking for candidates with a proven ability to lead and guide a team of data engineers, drive technical architecture decisions, and make strategic technology choices within the Google Cloud Platform ecosystem and related third-party technologies. This includes demonstrating an ability to design the right solutions with the appropriate combination of technologies for deployment on Google Cloud Platform.