Senior Data Scientist / ML Engineer
Ford Motor2 months ago
USA (city not specified)Staff+
Base Salary
$133k - $251k/yr
Responsibilities
- Design and evolve Ford’s data mesh architecture across manufacturing and enterprise domains, including domain boundaries, data product contracts, and interoperability standards.
- Establish federated computational governance covering schemas, data quality SLAs, security classifications, lineage, retention, privacy, and regulatory requirements.
- Lead the transformation of raw manufacturing and enterprise data into curated, documented, reusable data products through batch and streaming pipelines.
- Define and enforce standards for data product ownership, schema versioning, freshness, completeness, accuracy, discoverability, and access controls.
- Design enterprise, conceptual, logical, and physical data models and maintain them in a shared repository.
- Build semantic layers, ontologies, and knowledge graphs that enable AI agents to interpret enterprise data.
- Drive adoption of GCP cloud services, metadata management, data catalogs, monitoring, observability, and SLA tracking.
- Partner with product, analytics, cybersecurity, legal, compliance, plant operations, and enterprise IT teams on architecture, data quality, security, and privacy by design.
Requirements
- Master’s degree in computer science, information systems, data engineering, or a related field, or an equivalent combination of relevant education and experience.
- At least 5 years of experience in data architecture, data engineering, or advanced database design and modeling, including databases, data warehouses, or data marts.
- At least 15 years of experience leading, managing, or mentoring technical teams through direct, matrixed, or cross-functional leadership.
- Hands-on experience creating data models using data modeling tools.
- Deep hands-on experience with GCP technologies including BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, or similar cloud data engineering tools.
- Experience designing or implementing data mesh or domain-oriented data architectures.
- Understanding of AI/ML capabilities and experience modeling semantic layers, knowledge graphs, or ontologies for a data platform.
- Knowledge of data governance, data quality, and data product marketplace enablement practices.
- Proficiency in SQL, Python, and modern data pipeline or orchestration tools.
- Strong stakeholder management skills across plant-floor operations and enterprise IT and analytics functions.
- Experience with large-scale manufacturing or industrial data environments is required as part of the stated data architecture or engineering experience.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Flexible family care days, paid parental leave, new-parent ramp-up programs, subsidized backup child care, adoption and surrogacy reimbursement, and fertility treatment benefits.
- Vehicle discount programs for employees and family members and management leases.
- Tuition assistance and active employee resource groups.
- Paid time off for individual and team community service, paid holidays including the week between Christmas and New Year’s Day, and the option to purchase additional vacation time.
- The role is on-site, as indicated by the #LI-On-Site posting tag.
- Relocation assistance is not provided.
Tech Stack
Categories
Data Engineering
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.