Top Tech Jobs & Startup Jobs

Coordinate and launch ambiguous corporate systems and business platform initiatives, defining scope, stakeholders, plans, governance, and success criteria. Track executive commitments, risks, dependencies, decisions, and action items through closure. Maintain RAID logs, status reporting, steering committee materials, and portfolio visibility while driving alignment across matrixed teams without direct authority. The role requires enterprise systems fluency, strong communication, PMO discipline, and comfort establishing processes from scratch.

Process and audit multi-state U.S. payroll, validate time and pay data, review payroll variances, manage tax deductions and W-2 processes, maintain PTO and payroll records, and resolve discrepancies. The role supports UAW pay rules, payroll system implementations, compliance initiatives, system testing, audits, and employee inquiries while collaborating with HR, finance, labor affairs, and external providers. On-site work in Dearborn is required at least four days weekly.

Leads the team responsible for designing, developing, testing, releasing, and supporting Ford’s ELMS web application suite. Oversees global application expansion, automation, integrations, APIs, cloud infrastructure, data repositories, system performance, security compliance, incident resolution, and AI-enabled capabilities. Partners with operations, Corporate IT, and laboratory teams to deliver reliable transactional workflows and modernize test laboratory management processes. Develops team members, establishes engineering best practices, and supports mobile and cloud-based solutions.

The Plant Financial Analyst develops manufacturing cost analyses, supports month-end close, builds KPI dashboards, leads forecasting and budgeting, and financially models strategic projects. The role partners with plant operations and manufacturing teams, supports audits and controls, and drives finance transformation through automation, analytics, and AI/ML tools.

Leads sourcing execution and commodity strategy for power electronics across Ford’s hybrid and battery-electric vehicle programs. Responsibilities include supplier assessments, RFIs/RFQs, supplier selection, negotiations, contracts, cost analysis, supply-base strategy, capacity planning, and supplier performance management. The role partners globally with engineering, finance, manufacturing, and purchasing teams to meet cost, quality, delivery, technology, and launch objectives while mitigating supply and commercial risks.

Manage enterprise AI platforms, including configuration, licensing, capacity, agent deployment, user onboarding, governance, security, compliance, monitoring, lifecycle management, and cost tracking. Partner with developers, architects, cybersecurity, legal, privacy, HR, and business teams to operate AI tools reliably. Establish standards for AI application lifecycle management, source control, deployment automation, release processes, access controls, and operational documentation.

Leads Ford’s enterprise identity governance transformation by scaling onboarding, modernizing access governance patterns, improving service delivery, and driving AI-enabled automation. Partners with application teams, engineers, architects, product owners, and security stakeholders to develop repeatable operating models, self-service capabilities, analytics, and governance blueprints. Provides customer consultations, manages service issues and escalations, identifies process inefficiencies, and translates operational needs into scalable platform capabilities using Microsoft Entra ID Governance.

Leads the design, development, CAD release, validation, and improvement of automotive driveshaft and transfer case systems. Manages CAD and BOM structures, supplier data integration, feasibility analyses, testing, and change management within Ford’s PLM ecosystem. Collaborates with design, manufacturing, quality, and engineering teams to resolve complex issues, meet cost and quality targets, and support product reliability, safety, and durability.

Leads three software escalation teams supporting dealership technicians and Field Service Engineers. Oversees software issue triage, data-quality troubleshooting, root-cause identification, corrective actions, stakeholder coordination, reporting metrics, and resolution of diagnostic software problems affecting customer vehicles. Develops team training, performance objectives, and career plans while partnering with Product Development and technical teams to prioritize and resolve field concerns globally.

Leads a global team of more than 40 architects responsible for Ford’s enterprise data, AI, and analytics architecture. Defines platform strategy, standards, roadmaps, data models, integration patterns, and cloud-based systems. Advises leaders and engineering teams on reliable, secure, scalable solutions across data, applied AI, reporting, semantic layers, LLMs, and knowledge graphs. Drives technical alignment, tool selection, cybersecurity compliance, modernization priorities, and team development while collaborating with infrastructure, security, operations, product, and engineering organizations.