HCM Developer – PeopleSoft
Novul Solutions
SQL
VP Engineering – Data & ML Platforms
Ford Motor Company
full-time
Posted on:
Location Type: Remote
Location: Remote • Texas • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
BigQueryCloudGoogle Cloud PlatformMicroservicesPythonScikit-Learn
About the role
- Hands-on technical leader who mentors and inspires a global team of data engineers and machine learning platform professionals, fostering a culture of innovation, collaboration, and technical excellence.
- Oversee the execution of large-scale, complex, and impactful programs related to data platform development, data warehousing, and the implementation of machine learning systems.
- Execute a comprehensive data strategy that aligns with Ford Credit's business objectives, with a focus on modernizing our data platforms and capabilities.
- Assume financial management responsibility for a portfolio of data and platform engineering projects, executed by purchased services and team members.
- Continuously engage with business leaders to understand their needs, align objectives, and communicate the value and impact of data engineering initiatives.
- Partner with business leaders on ensuring solutions with data quality, governance and compliance facilities.
Requirements
- Data Domain Expertise: A comprehensive understanding of the data domain, including data warehousing, data governance, and the flow of data across a large enterprise.
- Data Engineering Leadership: Deep expertise in data engineering, sufficient to lead and guide large teams in building and maintaining robust data pipelines and platforms. Technical depth to guide and mentor senior data engineers, architects, and platform engineers.
- Data as a Product: Ability to create data as a product for consumers using the latest technologies and concepts leveraging AI Data Technologies (GCP preferred): Ability to architect and implement platforms on Google Cloud Platform (GCP) utilizing cloud-native technologies such as BigQuery, Dataflow, Dataform, AlloyDB, etc.
- Modern Architecture: A strong understanding of microservices and high-throughput architectural patterns, particularly in the context of leveraging machine learning for loan decisioning.
- AI and Machine Learning Application: The ability to leverage artificial intelligence and machine learning to solve real-world business problems, moving beyond theoretical knowledge to practical application.
- ML and AI Platforms: Have opinionated views on the best machine learning and agentic platforms to leverage for creating enterprise products SAS Platform: Familiarity with the SAS Viya platform including RTDM and MRM preferred.
- Data Science Lifecycle: A thorough understanding of the data scientist lifecycle, including familiarity with common machine learning algorithms (supervised, unsupervised, reinforcement learning) and the associated open-source technologies such as Python, XGBoost, Scikit-learn, Jupyter, etc.
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata warehousingdata governancedata pipelinesmachine learningAI technologiesmicroservicescloud-native technologiesmachine learning algorithmsdata science lifecycle
Soft skills
leadershipmentoringcollaborationcommunicationinnovationfinancial managementbusiness alignmentproblem-solvingtechnical excellenceteam management
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