Jobs at Ford Motor Company

Lead global 24x7 network and security operations to ensure high availability (99.999%+). Manage incident, change, and problem processes; perform end-to-end troubleshooting and root cause analysis; drive observability/monitoring, continuous improvement, hardware/software refreshes, and cloud proxy migration. Coordinate Follow-The-Sun shifts, support escalations, and collaborate with engineering teams to optimize infrastructure and customer experience.

Apply industrial engineering methods to improve manufacturing throughput and labour efficiency across machining and assembly. Lead capacity and labour planning, time studies (MODAPTS), line balancing, ergonomic assessments, simulation and analytics, support new product launches, drive Lean/Kaizen improvements, and maintain IE standards and documentation.

Design, build, and operationalize large-scale analytics platforms and data pipelines on GCP. Ingest, transform, and integrate massive datasets (batch and streaming), automate pipelines, support ML model pipelines, and collaborate with cross-functional teams to productionalize data products and ensure data lineage and governance.

Design, develop, and lead microservices-based PaaS solutions leveraging semantic technologies. Implement system integrations, optimize performance, enforce security and compliance, mentor developers, collaborate with cross-functional teams, and stay current with cloud, PLM (3DX/Enovia) and related technologies.

Design, build, and maintain full-stack security products and platforms (UI, APIs, data, cloud). Embed DevSecOps and Zero Trust principles, automate security workflows using AI/ML, implement CI/CD and IaC, participate in architecture/code reviews, and produce documentation and runbooks while collaborating with cross-functional teams.

Lead incident triage and resolution for connected vehicle services, monitor service health and KPIs, analyze operational data, coordinate cross-functional teams and partners, improve customer experience, and support operational readiness for feature launches to maximize uptime and service performance.

Lead functional SAP SD/VMS design, implementation, incident resolution, and billing integration on S/4HANA. Document functional specs, support upgrades, perform testing, follow Agile, mentor juniors, and ensure security and controls.

Lead and support 24x7 global network and security operations, manage incident bridges and change controls, perform end-to-end troubleshooting, collaborate with engineering teams, support transformation projects, ensure service reliability and security, and drive continuous improvement and training.

Lead solution architecture for BI and analytics platforms across lifecycle stages. Assess requirements, design cost- and performance-optimized solutions, build prototypes, maintain architecture artifacts, guide product teams on modernization, and train junior staff on architecture best practices.

Apply statistical analysis and machine learning to business problems: extract and transform data with SQL, build and deploy ML models (cloud preferred), monitor model performance, and communicate insights to technical and non-technical stakeholders while collaborating in agile cross-functional teams.

Execute SOX control testing and data-driven "Smart Reviews" across global processes using data analytics, automation, and generative AI. Translate manual tests into automated workflows, perform root-cause analysis, maintain RCMs/GRC documentation, collaborate with global stakeholders, mentor junior staff, and support ad hoc governance and remediation projects.

Lead AI engineering teams to design, govern, and deliver enterprise-grade AI/ML and Generative AI solutions from data acquisition through production. Define AI strategy, establish MLOps/LLMOps practices, ensure Responsible AI governance, drive cross-functional programs, and mentor engineers while aligning AI investments to measurable business outcomes.

Lead L2/L3 SAP production support for Accounts Payable, manage incidents and SLAs, perform RCA, coordinate with technical teams, monitor batch jobs (Autosys), run payments, drive automation and process improvements, and serve as primary business contact.

Lead product strategy and roadmaps for an enterprise data platform and Vision Intelligence AI platform. Drive scalable ingestion of structured and unstructured sources, evolve a unified EDP Console, ensure governance, and partner with engineering, data science, and business stakeholders to increase data accessibility, quality, and AI-driven insights.

Lead product marketing activities: develop persuasive presentations, support market and product studies, perform competitive and pricing analysis, drive market equation and order guide development, coordinate product actions through approvals, and act as single point of contact for mix, volumes, sales, and pricing.

Lead architecture and implementation of a petabyte-scale, low-latency connected vehicle streaming platform that integrates applied AI and agentic workflows to automate ingestion, governance, anomaly detection, and real-time insight generation while optimizing cost and reliability.