Ford Motor Company

Business Analyst

• Drive data-informed decisions and strategic initiatives for Ford's vehicle logistics.
• Design and optimize data models, dashboards, and reports using Power BI and low-code/no-code platforms.
• Lead and manage projects from scope definition to implementation.
• Facilitate collaboration, manage risks, and present insights to stakeholders.
• Ensure efficient delivery of finished vehicles across North America.

Business Solutions Analyst – Data & Projects

Backend Engineer

• NoSQL Database Engineering, part of Hosting Engineering department involves engineering new versions of NoSQL Databases, evaluate security patches, provide L3 support, technology management, GRC etc.
• Infrastructure as Code (IaC): Design and maintain production-grade infrastructure using Terraform . Ensure all cloud resources are version-controlled and deployed via automated pipelines.
• Observability & Reliability: Set up comprehensive monitoring, logging, and alerting using the Dynatrace. Define and track SLIs, SLOs, and Error Budgets.
• Developer Enablement: Build internal tooling and documentation to help application developers self-serve their infrastructure needs while maintaining compliance and governance.
• Cost Optimization: Monitor cloud consumption and implement cost-saving strategies such as Committed Use Discounts (CUDs) and rightsizing of compute resources.
• Data Security & Protection: Enforce security best practices using IAM roles, Workload Identity, and Organization Policy Service and ensure RTO & RPO requirements are met.
• Implement secure authentication between the AI Client (e.g., an agentic loop) and the MCP Server. Use GCP IAM Workload Identity and OAuth2 to ensure agents operate within strict permission boundaries.
• Implement end-to-end tracing to monitor the flow from the AI Agent → MCP Server → GCP Data Source.
• Experience with architecting and engineering of High Availability and Disaster Recovery solutions for NoSQL Databases
• Inter-personnel skills working with other team members in same and across organization
• Writing and assisting developers with Terraform, Blueprints, and APIs
• Create and maintain CI/CD Pipelines
• Deliver Database features to customers through Github Repo Enhancements
• Strong understanding of SRE principles, including the implementation and management of SLOs and Error Budget
• Expertise in developing observability dashboards to visualize app-to-database dependencies, enabling side-by-side health monitoring and accelerated incident resolution.
• Integrate GCP database logs with Dynatrace to centralize observability, configure DQL-based anomaly detection and provide deep-dive analysis for cloud-native workloads.
• Designing and implementing non-relational database solutions on GCP, including choosing appropriate services like . Mongo, Firestore, Bigtable, Memorystore, or Neo4j
• Managing and maintaining database infrastructure, including provisioning, configuration, and Optimizing database performance through query tuning, indexing, and capacity planning.
• Migrating existing on-premises databases to Google Cloud Platform, ensuring data integrity and minimal downtime.
• Developing and maintaining logical and physical data models for non-relational databases.
• Implementing and maintaining security best practices for database systems on GCP, including access controls and encryption, Peach dashboard, and Cycode.
• Monitoring database performance, identifying and resolving issues, and providing support for database-related problems using Dynatrace, Query Insights, and System insights.
• Writing, code reviewing, deploying Terraform code and maintaining service module repositories.
• Designing and maintaining Miro board diagrams/workflow for several ongoing projects.

Google Cloud Database Engineer – Non-Relational

Platform Engineer

• Lead the Core Runtime Platform
• · Architect and deliver the runtime platform that powers CoreOS and FMIL across Ford manufacturing environments
• · Build a secure, scalable execution layer supporting orchestration, device integration, event processing, and platform interoperability
• · Enable FMIL as the real-time signal, orchestration, and decisioning layer connecting factory systems and applications
• · Establish platform standards for runtime services, deployment models, lifecycle management, and system interfaces
• · Drive the evolution of Core from point solutions into a globally managed industrial software platform
• Build the Core Developer Platform (APIs & SDKs)
• · Define and deliver platform APIs, SDKs, and shared services enabling ATP products and engineering teams to build on Core
• · Create reusable primitives for telemetry, eventing, orchestration, device abstraction, identity, and policy control
• · Establish developer standards, tooling, and integration patterns to eliminate one-off solutions across plants and products
• · Enable Forge, Sight, Print, Volt, and future platforms to extend Core through standardized interfaces and services
• · Drive platform adoption by improving developer productivity, consistency, and reuse
• Industrial Edge & Distributed Systems
• · Lead development of edge computing platforms for real-time manufacturing environments
• · Architect distributed systems supporting high-throughput, low-latency workloads across thousands of factory devices
• · Build resilient edge runtimes supporting local processing, failover, and intermittent connectivity
• · Establish orchestration patterns across cells, lines, plants, and global manufacturing networks
• Device Connectivity & Industrial Middleware
• · Own the middleware connecting PLCs, robotics, vision systems, and industrial equipment to Core platforms
• · Standardize interfaces for telemetry, command/control, and interoperability across manufacturing systems
• · Define integration patterns across protocols such as EtherCAT, Profinet, Ethernet/IP, CAN, OPC UA, MQTT, TCP/IP, and gRPC
• · Build reusable adapters, APIs, and SDKs that simplify onboarding of factory devices and applications
• · Ensure consistent publishing of factory signals into FMIL and CoreDS
• Cloud & Hybrid Platform Infrastructure
• · Architect and operate hybrid edge-cloud infrastructure connecting plant environments with centralized cloud platforms
• · Build and manage cloud-based control planes for orchestration, fleet management, telemetry aggregation, and lifecycle control
• · Design secure edge-to-cloud patterns enabling global visibility, coordination, and system-level optimization
• · Develop cloud-native services supporting CoreOS, FMIL, and CoreDS at enterprise scale
• · Partner with data and enterprise teams to enable scalable storage, compute, and processing capabilities
• · Implement solutions using AWS, GCP, Azure, Kubernetes, and related technologies
• Real-Time Data, Telemetry & CoreDS Integration
• · Build real-time ingestion and streaming systems connecting factory signals to CoreDS
• · Ensure seamless integration between edge-generated data and cloud data platforms
• · Enable high-fidelity data pipelines supporting AI/ML, diagnostics, analytics, and traceability
• · Support closed-loop systems where factory signals → insights → actions continuously improve performance
• · Contribute to manufacturing data models, access patterns, and system-wide data consistency
• Observability, Diagnostics & Runtime Integrity
• · Build platform-wide observability across edge and cloud environments using tools such as Prometheus, Grafana, and OpenTelemetry
• · Enable real-time monitoring, alerting, and diagnostics across all deployments
• · Ensure runtime and telemetry signals are high-quality, structured, and actionable
• · Support diagnostics and AI/ML systems through reliable signal and data availability
• · Improve transparency and operational trust across engineering, launch, and plant teams
• Reliability, Deployment & Global Scale
• · Define deployment, rollout, upgrade, and rollback strategies across edge, on-prem, and cloud environments
• · Establish SRE and release engineering practices for mission-critical manufacturing systems
• · Define SLAs for uptime, latency, reliability, and deployment stability
• · Lead global rollout of Core platforms aligned to ATP lifecycle models (TRL/MRL/IRL) and launch playbooks
• · Partner with Launch, Field, Compass, and product teams to enable repeatable, scalable deployments
• Engineering Leadership & System Execution
• · Build and lead a high-performing engineering organization across runtime, edge, infrastructure, connectivity, and platform domains
• · Drive engineering excellence in architecture, SDLC, testing, release management, and operational rigor
• · Develop senior technical talent and create clear career pathways tied to platform and business outcomes
• · Align execution with ATP operating model, lifecycle governance, and platform priorities
• · Translate strategy into roadmaps, staffing plans, and delivery execution
• Cross-Functional Platform Leadership
• · Partner with Controls, Diagnostics, Data, and ATP vertical teams to deliver integrated manufacturing platforms
• · Align with plant operations, global manufacturing engineering, and vehicle programs
• · Contribute to enterprise standards for software-defined manufacturing and industrial platform architecture
• · Support system priorities including runtime adoption, AIR integration, diagnostics readiness, and platform reuse
• · Serve as a key leader in shaping Ford’s software-defined manufacturing platform strategy

Director, Core Runtime & Platform Engineering

Manager

• The Technical Placement Manager (TPM) provides strategic leadership for a national team of approximately 65 personnel—comprising 5 Market Area Coordinators and 60 Technical Placement Specialists—dedicated to optimizing innovative strategies (i.e., - technician recruitment and retention) for the Ford and Lincoln Dealer Network.
• In this role, the TPM orchestrates high-level coordination and strategic planning with dealers, technicians, vendors, and internal stakeholders to meet objectives.
• By analyzing market trends and leveraging strategic partners, the TPM designs and implements robust sourcing strategies that align the "Always On" hiring model with an unwavering focus on technician retention within the Ford and Lincoln networks.

Technical Placement Manager

Application Engineer

• Represent the Tech Platform in Vehicle Program forums, and represent the interests of Vehicle Programs in platform efforts
• Championing complexity control within program content and cross carlines
• Support delivery of vehicle programs, OTA updates, and quality actions
• Driving architecture and strategy changes through the cross-functional teams and throughout the lifecycle of the Programs
• Managing communication of all changes, cost, investment, and adherence to feature/hardware bundle requirements through standard scorecards.
• Partnering with Vehicle Programs to ensure balanced enterprise solutions with focus on Platform approach. Strong relationships and Over-communication at all levels is key to success.
• Driving a quality focus into Platform disciplines including leading metrics.
• Driving cost opportunities at a Platform level through the Vehicle Program life cycle (TVM).
• Driving the execution of technology migration plans and productivity-related initiatives.
• Managing Platform timelines, risk mitigation plans and cost/investment to ensure on-time and on-target delivery.
• Execute assigned tasks related to vehicle program deliverables, including tracking and updating program-related progress and evidence in tools like Integrator or Jira.
• Support the creation, documentation, and maintenance of program-specific system requirements, Bills of Features, and technical documentation (e.g., Tech Unit PDL).
• Assist in identifying potential risks to system delivery and support the development and documentation of Delivery Recovery Plans (DRPs).
• Escorting changes through the required Decision Forums (DFs): Architecture Change Control, Unified Backlog, Platform Change Control, Vehicle Program Change Control, etc. Helping enterprise make faster decisions and reduce repeat DFs.

Technical Product Manager

• Drive end‑to‑end feature and program delivery across multi‑year roadmaps, managing schedules, dependencies, and backlogs.
• Plan and execute programs across vehicle platforms and digital ecosystems, balancing resources, risks, and priorities.
• Translate customer and business requirements into actionable requirements across cross‑functional engineering teams.
• Apply technical fundamentals and release engineering practices to support architecture and solution design.
• Identify required data sets; analyze data to inform decisions, uncover gaps, and recommend improvements.
• Anticipate technical risks, drive mitigations, lead escalations, and manage change requests.
• Establish and track Technical Success Metrics, including KPIs, to measure delivery health and feature performance.
• Lead PDCA’s and drive continuous improvement through 5D workplans and other process optimization practices.
• Identify and implement process enhancements that increase quality, velocity, and execution predictability.
• Communicate program status, risks, and key decisions clearly to leadership, engineering teams, and cross‑functional partners.
• Align teams on goals, delivery plans, dependencies, and technology staging across complex feature areas.
• Provide technical guidance, mentor team members, and influence decisions that impact project‑level outcomes.

Financial Planning and Analysis

• Drive Data Analysis: Perform physical-based financial analysis to provide the Launch Director with actionable insights for critical decision-making.
• Coordinate Plant Operations: Partner with plant finance teams to track program changes, identify cost-saving opportunities, and drive lower launch costs.
• Forecast & Consolidate: Assist in the consolidation of plant forecasts, ensuring accuracy and providing the "story" behind the numbers for senior management.
• Modernize Workflows: Actively use and implement new technologies to automate reporting and modernize legacy finance processes.
• Support Month-End: Execute month-end close activities, including performance reporting and variance analysis.
• Ad Hoc Support: Provide analytical support for special studies, pilot plant operations, and other strategic initiatives as needed.

Financial Analyst

DevOps Engineer

• Managing product release CAD and BOM structures, including assembly positioning and mass attribute analysis.
• Facilitating supplier data integration and developing CAD studies to support and drive design improvements.
• Understanding and effectively utilizing product check-in/check-out processes, version control, data release, and change management within Ford’s PLM ecosystem.
• Performing feasibility analyses using CAD tools, including draft angle analysis and clearance checks to support manufacturing and machining requirements.

Design and Release Engineer – Steering Systems

• An Exterior Systems D&R (Design & Release) Engineer is responsible to design, develop, validate and release parts (Fixed glass, Wipers and Washers, EV charge ports, Fuel doors, Leaf screens, Badging, Appliques, Spoilers, Running boards, Roof rails, etc.) under their responsibility for assigned program(s).
• The D&R engineer will lead early development and system feasibility with studio and program management team(s).
• The D&R engineer is responsible for continuous design efficiency which includes but is not limited to design improvements to quality, cost, and weight.
• The D&R engineer is responsible to design parts in compliance with Corporate, Local, and Global Regulatory Requirements, considering WCR (Worldwide Customers Requirements), ES (Engineering Specifications), SDS (Systems Design specifications).
• The D&R engineer is responsible to design parts that meet Manufacturing and Assembly requirements and oversee incorporation at the Assembly Plant(s).
• The D&R Engineer is responsible for managing product release CAD and BOM structures, including assembly positioning and mass attribute analysis.
• This role also includes facilitating supplier data integration and developing CAD studies to support and drive design improvements.
• The D&R Engineer is expected to understand and effectively utilize product check-in/check-out processes, version control, data release, and change management within Ford’s PLM ecosystem.
• The D&R Engineer will perform feasibility analyses using CAD tools, including draft angle analysis, undercut detection, minimum bend radius validation for sheet metal, and clearance checks to support manufacturing and machining requirements.

Design and Release Engineer – Exterior Systems

Engineer

• Conduct detailed computational fluid dynamics (CFD) simulations to analyze and optimize the aerodynamic characteristics of racing vehicles and components.
• Utilize Computer-Aided Design (CAD) software to create and modify aerodynamic surfaces and components for simulation and testing.
• Plan, execute, and analyze data from wind tunnel testing of scale models and full-scale vehicles to validate designs and gather critical performance insights.
• Develop innovative aerodynamic solutions to enhance vehicle speed, handling, and stability, always striving for a balance between downforce and drag.
• Collaborate closely with design, vehicle dynamics, and other engineering teams to integrate aerodynamic considerations into the overall vehicle development process.
• Interpret complex aerodynamic data, generate comprehensive reports, and present findings and recommendations to cross-functional teams and leadership.
• Research and implement new methodologies and technologies in aerodynamics to continuously improve development processes and vehicle performance.
• Ensure all aerodynamic developments comply with relevant motorsports regulations and technical specifications.

Motorsports Aerodynamics Engineer

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Manager – N Tier COE

• Drive the CAE process modelling requests enabling a framework for the cross functional teams to create robust machining and assembly processes.
• Conduct PTME Machining/Assembly CAE analysis, provide interpretation, communicate, and document simulation results
• Ensure manufacturing feasibility for assembly and machining process designs, resulting in parts that can be machined or assembled by standard and best practice methods in support of new Powertrain program product launches.
• Develop CAE methods & Applications to simulate critical machining & assembly processes involved in Electrified Powertrain & ICE Programs
• Manage & Optimize Ford Proprietary MATLAB applications developed already
• Develop new MATLAB applications required for additional virtual process models

CAE Engineer – Machining Assembly

• Lead strategic sourcing and issue/evaluate RFQs
• Manage commercial issues and lead negotiations
• Build solid relationships with key suppliers and stakeholders
• Develop commodity strategies and perform detailed spend analysis
• Optimize the supply base and drive improvements to processes and efficiency

Global Supply Manager, Mechanical

Mechanical Engineer

• Manage and author generic engineering core documents with absolute focus on delivery of robust design templates and failure mode avoidance by applying engineering disciplines including DFMEA, PFMEA, Control Plans, SCCAF, PDP and RQT specifications
• Champion and develop global design standards and solutions
• Provide technical guidance and coaching to program engineers at the pre-launch, validation, and launch phases of their program
• Benchmark best practices and processes (internal and external) to maximize product effectiveness.
• Support current model program teams to drive quality improvements by performing root cause analysis, identifying solutions and prevent recurrence
• Champion projects to develop and integrate new technologies into Ford’s cockpit of the future.

Product Design Engineer – Headliner

• Financial Consolidation: Consolidate Global Model e financials for corporate reporting (monthly actuals/forecasts, quarterly earnings, and annual budgets), identifying and communicating key business insights
• Systems & Data Management: Serve as a lead for financial reporting systems; input, reconcile, and analyze data including Profit Matrix and Vehicle Line Income Statements to ensure financials align with key physicals
• Cross-Functional Liaison: Build strong relationships across the organization to reconcile management schedules, explain variances, and identify Risks and Opportunities (R&Os)
• Executive Support: Prepare and present comprehensive backup materials and financial deep-dives for Model e Leadership
• Ad-Hoc Analysis: Support high-priority projects including Quarterly Earnings prep, Investor Relations inquiries, Capital Markets Day, and Global Leadership reviews
• Continuous Improvement: Proactively simplify processes, eliminate waste, and implement workflow improvements to enhance team efficiency