Ford Motor Company

Communications

• Understand and utilize central communications strategies, guidelines, and directions to build the Ford Service brand locally
• Manage budgets supporting aftersales and communications objectives for digital and social campaigns for Hungary and EDM operations
• Support localization and development of central and local marketing assets by briefing and monitoring agency work
• Prepare local marketing materials, including advertisements, direct mails, website texts, leaflets, flyers, and catalogues
• Coordinate and execute monthly CRM campaigns, including agency briefing, campaign setup, and performance monitoring
• Check and review Hungarian copy texts suggested by agencies
• Coordinate supply and distribution of communication materials to warehouses and dealers
• Manage national and accessory website content
• Liaise with and motivate agency teams; review briefs, media plans, creative copy, and cost estimates
• Liaise continuously with the FCSD Field Force and Business Development teams
• Assist with planning and execution of special events, incentive programs, and meetings
• Test the Ford App
• Process invoices and monitor project expenditures

Communication Specialist

Manager

• Support Service & Parts Business activities and dealer operations within the zone
• Manage day-to-day dealer operations, ensuring timely and high-quality support
• Monitor and analyse dealer parts and service performance metrics and implement strategies to achieve objectives
• Support initiatives to increase part sales and workshop efficiency and utilization
• Plan and implement Service marketing activities
• Protect parts-purchase loyalty and develop new businesses
• Lead process improvement activities in Service & Parts Business
• Establish and maintain relationships with workshops and address concerns
• Provide feedback to the HUN FCSD Field Operations Manager on dealer performance and Aftersales projects
• Evaluate dealer parts sales performance against annual budgets and part bonus program objectives
• Advise dealers’ Aftersales & Parts Managers and MDs on sales channels, growth opportunities, service KPIs, and aftersales marketing
• Introduce and supervise process improvements to maximize customer satisfaction, productivity, and efficiency
• Promote loyalty products and strategic sales tools, including Extended Warranty, Service Packs, Video Check, and FordPass
• Control service standards and ensure dealers follow Company guidelines
• Ensure dealers check repair quality and implement corrective measures

Zone Manager

Product Manager

• Own the internal go-to-market strategy for the full Enterprise Data Platform product suite, including positioning, messaging, and persona-specific value narratives
• Act as a pre-sales/solutions consultant by running discovery conversations, mapping platform capabilities to business problems, and building tailored pitches, demos, and proposals
• Partner with product managers and engineering leads to translate roadmap features into business-relevant stories and enablement content
• Build and execute multi-channel internal marketing through town halls, newsletters, Slack/Teams communities, demo days, office hours, and internal case studies
• Develop and maintain sales enablement assets including one-pagers, decks, ROI/value calculators, demo scripts, FAQs, and success stories
• Define, track, and report adoption funnel metrics and refine messaging and outreach tactics
• Identify and prioritize target domains and teams for onboarding using an impact-driven framework
• Gather and synthesize voice-of-customer feedback for the product roadmap and governance/metadata quality priorities
• Communicate adoption progress, pipeline, and impact metrics to senior leadership
• Collaborate with governance, data quality, and platform teams to align marketing promises with trust, security, and reliability standards

Platform Product Manager

Data Engineer

• Work on a Portfolio Engineering Team based in Chennai
• Develop and maintain the Enterprise Data Platform
• Perform end-to-end full-stack data engineering
• Collaborate with data engineers, product owners, data champions, technical experts, architects, stakeholders, and product management
• Advocate for well-designed technical solutions
• Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform
• Apply solid data warehouse principles
• Serve as a subject matter expert in data engineering, focusing on GCP-native services and well-integrated third-party technologies
• Evaluate and productionalize data pipelines for data ingestion, curation, and consumption
• Translate business problems into technical data requirements while capturing key business drivers

Full Stack Data Engineer

Product Analyst

• Order warranty components and engines from dealerships using low-time-in-service and high-time-in-service systems
• Track requested warranty components and update Excel reports using data from the Quality AI platform
• Attend problem-resolution meetings with different teams from various departments
• Provide warranty information to different teams to eliminate quality issues for the end customer
• Prepare reports and update quality metrics monthly
• Handle special requests for report preparation and warranty data analysis
• Participate in meetings with the product development team and critical suppliers on warranty-related topics
• Prepare PowerPoint formats for high-time-in-service engine analysis
• Support innovation projects through the use of AI
• Create new tools to streamline team processes and tasks, including Power Apps and dashboards using macros, databases, Power BI, Python, and Microsoft Power Automate
• Interpret blueprints/drawings using GD&T knowledge
• Develop 8Ds for complex product development or manufacturing problems
• Support production floor testing for engineering changes
• Lead work meetings for quality problem resolution

Quality Analyst – Product Development

• Lead day-to-day project management of Rest of World market expansion initiatives
• Develop, track, and execute comprehensive launch plans and operating models across international markets
• Adapt and implement FPI Global sales and operations processes locally
• Streamline and accelerate customer and vehicle onboarding using Salesforce
• Optimize workflows and triage operational errors
• Equip local teams to manage the customer lifecycle effectively
• Educate and empower local market teams on Ford Pro products, beginning with Data Services and expanding to Fleet Management
• Partner with global product, marketing, and local operations teams
• Identify sales and onboarding roadblocks and drive continuous improvement
• Monitor modem activation rates and onboarding success
• Partner with the Customer Relationship Center to identify support needs
• Report insights and operational challenges to the ROW Expansion Lead
• Partner with CRC, local sales teams, and in-market operations to drive growth and support fleet customer success

Customer Enablement Manager

DevOps Engineer

• Lead on-site installation, commissioning, testing, and debugging of advanced manufacturing technologies, including PLCs, vision systems, AMRs, Cobots, and traditional 6-axis robotics
• Execute technical deployment plans, timelines, and schedules established by the ATP Senior Product Launch Manager
• Troubleshoot hardware, software, and controls issues on the plant floor
• Ensure equipment meets cycle time, quality, and safety standards before handover
• Serve as the primary technical liaison with plant engineering teams, production supervisors, and union skilled trades
• Provide on-the-job guidance, technical support, and knowledge transfer to union personnel
• Support Plant Readiness Assessments and verify facility infrastructure is prepared for technology deployment
• Identify technical roadblocks and implement countermeasures to keep deployment schedules on track
• Develop and deliver site-specific training materials and standard operating procedures for plant operators and maintenance teams
• Report technology performance, integration challenges, and design-maturation opportunities to MTDC engineering and product development teams

Automation Deployment Engineer

Platform Engineer

• Perform SAP S/4 installations, upgrades, patches, applying support packages, system copies/refreshes and installation of add-on software components in Cloud Platform
• Manage Application Basis tasks in closely working with SAP ECS Team
• Tune performance issues of application servers by tuning profile parameters
• Troubleshoot and tune HANA DB memory and CPU bottlenecks
• Support N and N+1 landscapes on SAP RISE / GCP Platforms
• Daily administration, monitoring, troubleshooting, and tuning of all SAP systems
• Work with SAP, vendors, and partners to tune S/4 systems for optimal performance
• Work closely with other product teams to meet and maintain operational KPIs/SLAs
• Participate in multi-landscape design solutions, architecture recommendations, and client strategies for continuous improvement
• Develop, implement, and execute SAP BASIS / HANA DB policies and procedures to ensure the integrity and availability of SAP systems
• Provide support and guidance to project and development teams during build, test, and productive operation of project implementations
• Set up and configure Solution Manager dashboards to monitor and administer SAP systems
• Support cloud initiatives such as GCP to set up or migrate existing on-premises SAP solutions
• Provide production support periodically on a 24x7 basis with on-call responsibilities

SAP Basis/HANA Platform Engineer

Full-stack Engineer

• Design, build, and scale robust Java microservices and RESTful APIs
• Deliver scalable Java applications and optimize performance using data structures, algorithms, and JVM knowledge
• Design, develop, and maintain Spring Boot microservices
• Deploy containerized applications on GCP Cloud Run and Red Hat OpenShift
• Provision and manage cloud environments using Terraform
• Build and maintain automated CI/CD pipelines for frequent and reliable releases
• Debug distributed systems and drive root-cause analysis
• Participate in Agile sprint ceremonies and track tasks in Jira
• Collaborate cross-functionally in fast-paced environments
• Work with SQL and NoSQL databases
• Write clean, maintainable, well-tested code
• Mentor teammates
• Drive monolith-to-microservices transformations and improve scalability, resilience, and deployment speed

Software Development Engineer

Human Resources

• Act as the business partner for HR functions including talent acquisition, organization design, talent development, compensation, well-being, and company compliance
• Develop, communicate, and implement the strategic direction of operations to achieve business strategies, maintain employee morale, and build employee capabilities
• Support development and drive achievement of the annual strategy in line with business priorities
• Diagnose and deliver talent interventions addressing quality, diversity, and depth against business needs
• Determine and deliver succession plans; make final resourcing decisions to agreed levels; embed core processes and talent pipelines
• Define, communicate, and implement capability requirements for business units
• Develop management capability and future leadership talent
• Coach the Leadership team to deliver their purpose and inspire their teams
• Deliver change programs and continuous organizational and productivity improvements
• Measure organizational health and lead employee engagement, reward, and recognition strategies

Senior Specialist, HR Business Partner

Engineer

• Serve as the Feature Systems Engineer of record for each prognostic feature
• Introduce prognostic features onto the Bill of Features for impacted programs and coordinate with program teams on scope and timing
• Apply the Feature Development Process, ensuring features progress through required gates, documentation, and sign-offs
• Author and document system-level feature requirements using Gherkin syntax (Given-When-Then)
• Define and allocate feature-level interfaces between vehicle systems, central gateway modules, and cloud prognostic services
• Plan and execute Design Verification Plans (DVPs) for end-to-end prognostic feature validation
• Sign off on feature-level performance and conduct real-world evaluations
• Lead cross-functional triage to isolate system/integration issues from algorithm-level issues
• Maintain requirements traceability using ALM tools including Jama, Jira, and Team Center
• Coordinate with vehicle network/module engineers to integrate features with central gateway modules and CAN/LIN/Ethernet architectures
• Analyze connected vehicle and warranty data to validate deployed features and identify continuous-improvement opportunities
• Communicate feature status, program impacts, and validation results to program leadership and cross-functional stakeholders

Prognostics Engineer

• Collaborate across teams and internal organizations to develop a wider data architecture plan for Connected Vehicle Software
• Work with data stewards and data owners to source and understand data and ensure effective data transformation practices
• Streamline data acquisition, processing, and presentation with data analytics stakeholders
• Analyze connected vehicle data to support new product development and production vehicle improvements
• Design and build a Semantic Data layer to serve AI agents
• Design and implement scalable data science and MLOps pipelines in GCP and AWS
• Integrate cloud technologies and AI tools such as Vertex AI into workflows
• Translate vehicle engineering problems into mathematical representations and AI/ML solutions
• Develop and maintain data quality systems across the development lifecycle
• Build pipelines monitoring data quality and analytical model and agentic solution performance
• Translate technical work for diverse stakeholders and mentor junior data engineering team members

Technical Program Manager

• Partner with stakeholders to define, scope, prioritize, and deliver major ADAS software initiatives across multiple teams and organizations
• Align stakeholder needs across the product development organization
• Plan, manage, and lead development and delivery of ADAS software, tooling, and support software
• Execute roadmaps, schedules, project plans, and resourcing plans
• Lead execution of technical plans, including milestone progress, dependency tracking, risk management, and mitigation
• Lead cross-functional Systems, Software, Feature, Supplier, V&V, and Quality teams to drive on-time, high-quality software delivery
• Support technical leaders and engineers in resolving dependencies and technical issues
• Provide regular project updates through wikis, Jira, Teams, email, and other communication channels
• Communicate and present project status to stakeholders and leadership
• Identify and manage project risks, including mitigation and recovery plans
• Use work management and project management tools to make plans and status visible to leadership

Technical Program Manager – ADAS SW Platform

• Develop, refine, and execute design validation methods for ADAS sensing performance at component, system, and vehicle levels
• Support development, design, and verification of use cases, functional requirements, and performance targets
• Support ADAS sensing-system upgrades through modeling changes, regression testing, test-vector support, data review, issue identification, and supplier coordination
• Develop and improve system- and subsystem-level designs, interfaces, and specifications across Ford vehicle offerings
• Ensure system design, failure mode analysis, functional safety, and related deliverables support feature integration and user experience
• Develop data-analysis techniques for sensing-system data from SIL, HIL, bench, and vehicle test environments
• Coordinate with Software Development, Program Management, Systems Engineering, and Suppliers to align V&V activities with project goals
• Identify and implement HIL and CAE methods for ADAS platform and sensor verification
• Improve V&V processes and methodologies using industry best practices and emerging technologies

Verification and Validation Engineer

Data Scientist

• Access and analyze data to develop solutions using advanced analytics tools and ad-hoc data models
• Apply a structured problem-solving mindset to Value Sprints
• Consider enterprise-wide impact and sensitivity of sprint recommendations
• Communicate analysis insights and implications of recommendations
• Apply and integrate analytical tools developed by the Yield Management Advanced Analytics modeling team
• Assist in preparing presentations and reports for management and business customers
• Establish sprint mandates and problem statements with key stakeholders
• Lead analysis and develop insights and implications of decisions
• Deliver clear and actionable recommendations