Job Description As a Senior Data Engineer, you will explore, integrate data from various sources into data products. You will develop new and build upon existing data pipeline, including merging historical data from legacy platforms. You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics. You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for downstream application and analytics solutions. You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to Ford modernization and providing implementation solutions. Moreover, you will partner closely with our business, product, application teams, developing creative solutions that build the future for Ford. Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates with a broad set of data engineering, analytical, technology and bridging with product and business team to design the right solutions with the appropriate combination of GCP tools and 3rd party technologies for deployment on Google Cloud Platform. Responsibilities Collaborate with stakeholders and cross-functional teams to gather and define data requirements and ensure alignment with business objectives. Design and build production data engineering solutions on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, DataForm , Astronomer, Data Fusion, DataProc , Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Artifact Registry, GCP APIs, Cloud Build, App Engine, and real-time data streaming platforms like Apache Kafka and GCP Pub/Sub. Partner with application, product, business and governance teams to develop and deliver based on business needs. Partner with analytics teams to understand how value is created using data. Design and implement batch, real-time streaming, scalable, and fault-tolerant solutions for data ingestion, processing, and storage. Create insights into existing data to fuel the creation of new data products. Perform necessary data mapping, impact analysis for changes, root cause analysis, and data lineage activities, documenting information flows. Implement and champion an enterprise data governance model. Actively promote data protection, sharing, reuse, quality, and standards to ensure data integrity and confidentiality. Develop and maintain documentation for data engineering processes, standards, and best practices. Ensure knowledge transfer and ease of system maintenance. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. Provide production support by addressing production issues as per SLAs. Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Work within an agile engineering team. Deliver code frequently using Test-Driven Development (TDD), continuous integration, and continuous deployment (CI/CD). Continuously enhance your domain knowledge. Stay current on the latest data engineering practices. Contribute to the company's technical direction while maintaining a customer-centric approach. Qualifications GCP certified Professional Data Engineer Successfully designed and implemented data warehouses and ETL processes for over five years, delivering high-quality data solutions. 5+ experience with programming languages such as Python, SQL, Apache ecocystem and GCP expertise, specializing in managing cloud infrastructure and applications to production-scale solutions. In-depth understanding of GCP’s underlying architecture and hands-on experience of crucial GCP services, especially those related to data processing (Batch/Real Time) leveraging Terraform, Big Query, Dataflow, Pub/Sub, Data form, astronomer, Data Fusion, DataProc , Pyspark , Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Cloud build and App Engine, alongside and storage including Cloud Storage DevOps tools such as Tekton, GitHub, Terraform, Docker. Expert in designing, optimizing, and troubleshooting complex data pipelines. Experience developing and deploying microservices architectures leveraging container orchestration frameworks Experience in designing pipelines and architectures for data processing. Passion and self-motivation to develop/experiment/implement state-of-the-art data engineering methods/techniques. Self-directed, work independently with minimal supervision, and adapts to ambiguous environments. Evidence of a proactive problem-solving mindset and willingness to take the initiative. Strong prioritization, collaboration & coordination skills, and ability to simplify and communicate complex ideas with cross-functional teams and all levels of management. Proven ability to juggle multiple responsibilities and competing demands while maintaining a high level of productivity. Master’s degree in computer science, software engineering, information systems, Data Engineering, or a related field. Experience in coaching and mentoring Data Engineers Project management tools like Atlassian JIRA Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Experience with data security, governance, and compliance best practices in the cloud.

Job Description Key Skills: Data analysis and interpretation Sales forecasting and analysis (Using MS Excel, PowerPoint) High level knowledge of advanced automation tools, Eg: Alteryx, Power BI, SQL, Qlik Sense Communication and presentation skills Problem-solving Strong ownership and team spirit, with the capability to engage cross-functional teams and markets to deliver results. Ability to work independently and as part of a team. Responsibilities Data Analysis: Analyze Parts sales data for various countries (Markets), Observe patterns, provide Part level insights to improve revenue. Use Data to Drive Decisions: Utilize the business analytic tools / dashboards to gain insights into Parts and accessories sales. Forecast & Report: Create and present sales forecasts, track performance, and identify areas for improvement in each market. Drive Sales Growth: Develop and implement demand creation activities by working closely with markets. Share Best Practices: Identify successful sales strategies from different markets and help implement them across the board. Develop New Initiatives: Identify business needs, analyze options, and develop new programs to improve Parts sales. Automate Reporting: Automate reports for central & markets to make it easier for use and saving time. Achieve Sales Targets: Meet revenue and profit goals for Parts & accessories for your assigned markets. Qualifications Engineering / MBA / Statistics degree. Around 6 to 8 years of experience.

Job Description Monitor and report key logistics metrices and take pro-active measures to avoid disruption. Handle the internal stakeholders and gather insights on KPIs Responsibilities Basic Understanding on Ford Vehicle handling Quality Procedure (VOPQUG225). Fair Idea on Ford Vehicle distribution and Network in IMG Markets. Hands on Experience in GVDS, VMACS Application & Excel to work out basic reports. Fair Knowledge on IMG Logistics Supply Chain End to End and Identify Opportunities for Freight & Inventory Improvement Contract Renewal Tracking for Whole IMG Market from Kick off till Finalisation Prepare, Review and Present Weekly TVM Decks with IMG Leadership team Contract deck preparation in alignment with Operations & leadership team Prepare, Review and Present Weekly SPM Decks with IMG Leadership team Qualifications Any Engineering/Post-Graduate with Supply Chain/ Logistics Background is preferred Strong verbal, written, and listening skills. Ability to relate to employees at all levels of the business. Should able to communicate with Global teams. 5+yrs of experience in Logistics / Auto / FMCG companies

JOB DESCRIPTION FSR/LSR+ needs technical leadership to ensure engineering excellence, work with other technical leaders and product management, and transform future service scheduling experiences for Ford and Lincoln customers and dealers. In this position... FSR/LSR+ needs technical leadership to ensure engineering excellence, work with other technical leaders and product management, and transform future service scheduling experiences for Ford and Lincoln customers and dealers.You will provide hands-on engineering leadership to a growing team driving the delivery of world-class, best-in-class CX for FSR/LSR+ users. This role requires a leader who can technically mentor team members, contribute directly to design, problem-solving, and integrations, and champion an iterative development approach and business partners on MVP delivery through careful prioritization, managing demand, and coordinating dependencies. This is a hybrid work opportunity which requires the selected individual to be onsite four days per week. Relocation assistance may be available for qualified candidates. RESPONSIBILITIES This is an Engineering leadership role overseeing the design and delivery of complex partner/Dealer Management Systems integrations with micro service ecosystem. The FSR/LSR+ team is responsible for the systems and technology powering the Mobile Service scheduling Dealer Experience and customer service scheduling experiences for in-person, Pickup & Delivery, and Mobile Service on FordPass, Tier3Web sites, owner.ford.com for retail customers, enable Ford Pro business. and the other regional markets, as part of the holistic Omni-Channel, global, platform Commerce team Model the use of modern software engineering practices (TDD BDD, CI/CD, Shift left, API first design language etc..) to support integration with existing Ford software products as well as external cloud-based services. Be hands-on as required and help team with design, problem solving and integrations Collaborate with Ford's Enterprise Architecture organization to rationalize technologies, further leverage current technology offerings already in use, and identify gaps/opportunities. Implement a talent system to review existing team capabilities (internal and external) and build and promote practices to develop a world-class software engineering team. Provide thought leadership for the development, structure, technology of Ford with skills in strategic planning, goal setting, processes development, and creating opportunities for professional development within technology teams. Work collaboratively with cross-functional teams, including engineers, developers, and product owners, to define technical requirements and devise solutions that align with business objectives. Continuously evaluate, collaborate with senior tech architects and integrate new GCP features, services, and technologies to enhance the performance, reliability, and scalability of our cloud-native applications and infrastructure. Strategize & work with senior leaders across Ford's engineering organization to make significant, measurable impact on a global scale by innovating and operating with an iterative, agile, and user-centric perspective. Manage Global teams - Team members currently in US but footprint maybe extended to other regions in the future Provide engineering leadership for CX and drive a world class best in class CX experience for FSR/LSR+ Help business partners understand iterative development approach and focus on delivering a Minimum Viable Product (MVP) and releases through careful and deliberate prioritization. Initial team size will include around 10 positions of associates and purchased service capacity with external partners. Provide technical mentoring to team members Cross team collaboration with other teams in the portfolio QUALIFICATIONS Must Have Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering or eqivalent combination of relevamt education and experience. 10 + years of hands-on experience in software engineering, programming, and solution design with technologies such as Java, React, Node.js, SQL and no SQL Databases and Cloud. 4+ years of experience or awareness of microservices architecture, cloud-native architectures, event-driven architectures, APIs, domain-driven design, and public cloud (Google Cloud preferred). 3+ years of experience with Customer Facing Applications/websites 3+ years of experience in multiple programming languages, with thorough knowledge of multi-threading, concurrency, and parallel processing concepts, including scalability, performance, and consistency in a microservices-driven architecture , technical patterns 3+ years+ of experience in leadership roles including having a strong technical background, with the ability to be hands-on, earn respect, and mentor top individual technical talent. Additional leadership skills may include: Proven facilitation skills - able to effectively drive discussion among diverse perspectives and reach a decision or recommendation. Effectively work with cross-functional teams across the organization - inside and outside of the technology and software organization Ability to lead through change and ambiguity Even better, you may have... Master's Degree in Computer Science, Computer Engineering, Systems Engineering or related field. Familiarity with serverless technologies, Kubernetes, Docker, and DevOps practices for building scalable, reliable, and available solutions, as well as performance testing. Familiarity delivering Micro Front Ends using REACT/Node.js, React/Java and backend Micro services. Experience with cloud-native systems, transactional systems, multi-tenancy, high availability (five-nines), and containerization technologies. Experience in collaborating and partnering with other technical domain experts, such as cloud, security, SRE, and DevOps. Experience or awareness in building structured, semi-structured, and unstructured data stores, with a solid understanding of RDBMS and No-SQL databases, and strong exposure to data modeling and data access patterns. Ability to identify, troubleshoot, and resolve complex technical issues related to cloud-native applications and infrastructure. Ability to champion and drive hands-on implementation of AI driven solutions including but not limited to coding agents, CI/CD Optimizations etc. . . Familiarity with Pub Sub patterns and architectures

SCM Analyst Functional skills : SCM fundamentals & concept Supply management Analytical skills Good communication Cross country exposure. Education Qualification Mechanical / Automobile / Production / Industrial Engineer No. of years of experience 2 to 5 Years Professional Exposure Auto components / Service parts / Logistics / Inventory planning & management. Responsible for meeting market metrics – Fill rate (Line & Piece), inventory turns, backorder etc. Perform all daily/weekly/monthly processes diligently without any backlog thereby meet key deliverables. Procurement of services parts from external Global suppliers, Ford plants Respond to dealer part status requests. Take action to address immediate dealer need (COPIS/Call trackers). This generally involves contacting the supplier, carrier or PDC to expedite processing. Perform denied order root cause analysis and work towards implementing the containment actions Review forecast changes and stock order suggestions and identify the unusual trends Ensure all open issues are tracked in the issue log with all specific details Participate with issue log meeting with SME / DMs Interface with internal (e.g. Purchasing, Engineering, Product Analysis, Supplier Development Performance) and external (e.g. Supplier, dealer) organizations to resolve part issues. Escalate issues as necessary to the Supervisor / Manager Resolve all parts that are in a low or negative inventory position (backordered critical) by expediting inventory movement. Address root cause of low or negative inventory position (e.g. request increase in forecast, increase order quantity etc.) Input timing and remarks on availability progress. Escalate issues when supply issue cannot be reached in a timely manner (backorder aging) with the appropriate urgency Participate in Six sigma projects, work on continuous improvement initiatives and elimination of NVAs in various process steps Work closely with Purchasing to review the supportability of overdue parts from suppliers Work with Purchasing on direct sourcing strategy through cost volume analysis Facilitate meetings with Purchasing, SCM, Warehouse, STA for early resolution of supply issues

Role Overview: You will combine expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. Your role will involve collaborating with cross-functional stakeholders and AI Engineers to build and deploy an enterprise-wide AI security framework. Key Responsibilities: - Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. - Evaluate and utilize established frameworks such as Google's Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines. - Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access. - Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines. - Ensure data used in AI systems is encrypted, anonymized, and securely stored. - Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models. - Protect AI models from tampering, theft, or adversarial manipulation during training and deployment. - Monitor and log AI system activity for anomalies or security incidents. - Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements. - Promote transparency, explainability, and fairness in AI models. - Establish real-time monitoring and advanced threat detection for AI systems. - Develop and maintain an AI incident response plan for prompt mitigation and recovery. - Educate teams on AI security best practices and foster a security-aware culture. - Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals. Qualifications: - Strong understanding of AI/ML concepts, architectures, and security challenges. - Strong programming skills in Python, R, or similar languages. - Strong experience in Google Cloud Platform (GCP) or equivalent. - Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision. - Experience with cloud AI/ML services and deployment pipelines is a plus. - Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance. - Proficiency in data protection techniques, encryption, and secure access management. - Familiarity with adversarial machine learning, model hardening, and input sanitization. - Knowledge of incident response, monitoring tools, and threat intelligence platforms. - Excellent communication and documentation skills for policy development and stakeholder engagement. Additional Details of the Company: Omit as no additional details of the company are mentioned in the provided Job Description. Role Overview: You will combine expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. Your role will involve collaborating with cross-functional stakeholders and AI Engineers to build and deploy an enterprise-wide AI security framework. Key Responsibilities: - Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. - Evaluate and utilize established frameworks such as Google's Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines. - Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access. - Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines. - Ensure data used in AI systems is encrypted, anonymized, and securely stored. - Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models. - Protect AI models from tampering, theft, or adversarial manipulation during training and deployment. - Monitor and log AI system activity for anomalies or security incidents. - Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements. - Promote transparency, explainability, and fairness in AI models. - Establish real-time monitoring and advanced threat detection for AI systems. - Develop and maintain an AI incident response plan for prompt mitigation and recovery. - Educate teams on AI security best practices and foster a security-aware culture. - Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals. Qualifications: - Strong understanding of AI/ML concepts, architectures, and security challenges. -

Role Overview: You will be joining a team within an organization undergoing significant business transformation, especially in the digital space and financial services. Your role will involve shaping the future of automotive financing and customer relationships through technology, including managing platforms for billing and subscriptions crucial to customer relationships and revenue streams. Leading engineering teams globally to deliver innovative solutions will be a key aspect of your responsibilities. Responsibilities: - Leadership & Team Building: Lead, mentor, and grow multiple engineering teams, potentially managing other managers working on various components of digital core banking features. Foster a strong team culture centered around technical excellence, collaboration, ownership, and continuous improvement. Define effective team structures, roles, and responsibilities to maximize productivity and scalability. Oversee hiring, performance management, and career development for engineers within your domain. - Technical Strategy & Execution: Champion best practices in software development, testing, deployment, and operations using agile methodologies. Manage team priorities, backlogs, and remove roadblocks to drive key business results. Lead the management of global supplier partners focusing on cost-effectiveness. Qualification Required: - Skilled at building partnerships, driving technology transformation, and developing capabilities to support a growth strategy. - Experience in lean product management and effective use of the build-measure-learn cycle. - Strong leadership, communication, collaborative, and influencing skills. - Understanding of cloud-native software design patterns and industry trends. Additional Details: You will lead a team of 50 experienced technical professionals to build, grow, and maintain Ford Credit's digital assets and touchpoints across Ford Credit Operations. Your responsibilities will include ensuring high-quality and efficient delivery of Ford Credit technology roadmap, leveraging Google Cloud Platform, Artificial Intelligence, and DevOps. Driving technology transformation across the digital organization and being a catalyst for modern technology applications will be crucial aspects of your role. Role Overview: You will be joining a team within an organization undergoing significant business transformation, especially in the digital space and financial services. Your role will involve shaping the future of automotive financing and customer relationships through technology, including managing platforms for billing and subscriptions crucial to customer relationships and revenue streams. Leading engineering teams globally to deliver innovative solutions will be a key aspect of your responsibilities. Responsibilities: - Leadership & Team Building: Lead, mentor, and grow multiple engineering teams, potentially managing other managers working on various components of digital core banking features. Foster a strong team culture centered around technical excellence, collaboration, ownership, and continuous improvement. Define effective team structures, roles, and responsibilities to maximize productivity and scalability. Oversee hiring, performance management, and career development for engineers within your domain. - Technical Strategy & Execution: Champion best practices in software development, testing, deployment, and operations using agile methodologies. Manage team priorities, backlogs, and remove roadblocks to drive key business results. Lead the management of global supplier partners focusing on cost-effectiveness. Qualification Required: - Skilled at building partnerships, driving technology transformation, and developing capabilities to support a growth strategy. - Experience in lean product management and effective use of the build-measure-learn cycle. - Strong leadership, communication, collaborative, and influencing skills. - Understanding of cloud-native software design patterns and industry trends. Additional Details: You will lead a team of 50 experienced technical professionals to build, grow, and maintain Ford Credit's digital assets and touchpoints across Ford Credit Operations. Your responsibilities will include ensuring high-quality and efficient delivery of Ford Credit technology roadmap, leveraging Google Cloud Platform, Artificial Intelligence, and DevOps. Driving technology transformation across the digital organization and being a catalyst for modern technology applications will be crucial aspects of your role.

You are a Product Lead responsible for delivering exceptional Global Trade Services Direct Markets Dealer experiences by embracing Lean, Agile, and Human Centered Design practices. You will collaborate directly with Product Owners and lead a Product Team consisting of a Product Manager, Designer, and Full Stack Software Engineers. **Key Responsibilities:** - Own the backlog and lead the development of services - Modernize the STRUTS based GOaLS Java application by 2026 - Foster full-stack software engineering with service-oriented architecture (APIs / Microservices) and Micro Front End (MFE) using Agile/Iterative methodologies - Drive actions to build product knowledge within the team - Manage dependencies with interfacing systems and address risks/issues - Conduct Agile ceremonies such as Stand-Ups, Retrospectives, and Backlog Grooming - Ensure all Governance, Risk and Controls (GRC) requirements are met - Drive continuous improvement through waste elimination and automation - Guide and coach the Product team towards effectiveness and innovation - Foster a safe environment for experimentation and continuous learning You will use metrics to shape work, anticipate demand, facilitate conversations, and promote learning within the team. **Qualifications:** **Must Have:** - 5+ years of Software Engineering Manager expertise with a strong foundation in design and development - Ability to define product vision, strategy, and roadmap, and manage product backlogs - Technical proficiency in service-oriented architecture, APIs/Microservices, and Google Cloud Platform - Experience with Tekton CI/CD deployment pipeline automation and Java programming - Strong understanding of Load/Performance testing, A/B testing methodologies, and containerization technologies - DevSecOps mindset with a focus on development, security, and operational support - Leadership skills in team management, coaching, and motivation towards software craft excellence You should also possess excellent oral and written communication skills, expertise in monitoring activities and tools, and the ability to manage complex integrations and dependencies across different products and product lines. You are a Product Lead responsible for delivering exceptional Global Trade Services Direct Markets Dealer experiences by embracing Lean, Agile, and Human Centered Design practices. You will collaborate directly with Product Owners and lead a Product Team consisting of a Product Manager, Designer, and Full Stack Software Engineers. **Key Responsibilities:** - Own the backlog and lead the development of services - Modernize the STRUTS based GOaLS Java application by 2026 - Foster full-stack software engineering with service-oriented architecture (APIs / Microservices) and Micro Front End (MFE) using Agile/Iterative methodologies - Drive actions to build product knowledge within the team - Manage dependencies with interfacing systems and address risks/issues - Conduct Agile ceremonies such as Stand-Ups, Retrospectives, and Backlog Grooming - Ensure all Governance, Risk and Controls (GRC) requirements are met - Drive continuous improvement through waste elimination and automation - Guide and coach the Product team towards effectiveness and innovation - Foster a safe environment for experimentation and continuous learning You will use metrics to shape work, anticipate demand, facilitate conversations, and promote learning within the team. **Qualifications:** **Must Have:** - 5+ years of Software Engineering Manager expertise with a strong foundation in design and development - Ability to define product vision, strategy, and roadmap, and manage product backlogs - Technical proficiency in service-oriented architecture, APIs/Microservices, and Google Cloud Platform - Experience with Tekton CI/CD deployment pipeline automation and Java programming - Strong understanding of Load/Performance testing, A/B testing methodologies, and containerization technologies - DevSecOps mindset with a focus on development, security, and operational support - Leadership skills in team management, coaching, and motivation towards software craft excellence You should also possess excellent oral and written communication skills, expertise in monitoring activities and tools, and the ability to manage complex integrations and dependencies across different products and product lines.

As an ideal candidate for this role, you will be responsible for the following: - Explore state-of-the-art models and techniques that can be applied for automotive industry use cases. - Conduct machine learning experiments to train and infer models, ensuring adherence to memory and latency restrictions when building models. Your qualifications should include: - Bachelors or Masters Degree in Computer Science, Engineering, Maths, or Science. Additionally, you should possess the following NLP skills: - Knowledge in fundamental text data processing, such as the use of regex, token/word analysis, spelling correction, noise reduction in text, segmenting noisy unfamiliar sentences/phrases, and deriving insights from clustering. - Experience in implementing real-world BERT or other transformer fine-tuned models, covering data preparation, model creation, inference, and deployment. Moreover, your ML/DL skills should include: - Proficiency in coding with Tensorflow and/or Pytorch, Scikit-learn, Numpy, and Panda. - Familiarity with two or more open-source NLP modules like SpaCy, HuggingFace, TorchText, and fastai.text. In terms of deployment skills, you should have expertise in: - Utilizing Dockers, including experience in experimental docker features, docker-compose, etc. - Working with Kubernetes or any other containerization tool, with exposure to Helm, Argoworkflow, etc. Furthermore, miscellaneous skills required for this role are: Data Engineering: - Ability to perform distributed computing, specifically parallelism and scalability in Data Processing, Modeling, and Inferencing through Spark, Dask, RapidsAI, or RapidscuDF. - Proficiency in building python-based APIs, for example, using FastAPIs, Flask, or Django for APIs. - Experience in Elastic Search and Apache Solr is a plus. Cloud Computing: - Skillset to leverage cloud platforms for Data Engineering, Big Data, and ML needs. As an ideal candidate for this role, you will be responsible for the following: - Explore state-of-the-art models and techniques that can be applied for automotive industry use cases. - Conduct machine learning experiments to train and infer models, ensuring adherence to memory and latency restrictions when building models. Your qualifications should include: - Bachelors or Masters Degree in Computer Science, Engineering, Maths, or Science. Additionally, you should possess the following NLP skills: - Knowledge in fundamental text data processing, such as the use of regex, token/word analysis, spelling correction, noise reduction in text, segmenting noisy unfamiliar sentences/phrases, and deriving insights from clustering. - Experience in implementing real-world BERT or other transformer fine-tuned models, covering data preparation, model creation, inference, and deployment. Moreover, your ML/DL skills should include: - Proficiency in coding with Tensorflow and/or Pytorch, Scikit-learn, Numpy, and Panda. - Familiarity with two or more open-source NLP modules like SpaCy, HuggingFace, TorchText, and fastai.text. In terms of deployment skills, you should have expertise in: - Utilizing Dockers, including experience in experimental docker features, docker-compose, etc. - Working with Kubernetes or any other containerization tool, with exposure to Helm, Argoworkflow, etc. Furthermore, miscellaneous skills required for this role are: Data Engineering: - Ability to perform distributed computing, specifically parallelism and scalability in Data Processing, Modeling, and Inferencing through Spark, Dask, RapidsAI, or RapidscuDF. - Proficiency in building python-based APIs, for example, using FastAPIs, Flask, or Django for APIs. - Experience in Elastic Search and Apache Solr is a plus. Cloud Computing: - Skillset to leverage cloud platforms for Data Engineering, Big Data, and ML needs.

As part of Ford's Technological Transformation Journey, you will leverage your expert knowledge in EWM to spearhead and support Global EWM launches. Your responsibilities will include leading process/Fit gap discussions, comprehensive plant team training, supporting testing and validation, and ensuring overall launch readiness to meet operational and strategic objectives globally. You will also be responsible for communicating progress across the organization. - Initiate SAP EWM overview discussions with Plant MP&L IT and MFE teams to kickstart the implementation process. - Provide MP&L Business stakeholders with a comprehensive understanding of SAP EWM functionalities, the launch process, expected business support, and the Global Warehouse template. - Collaborate with EWM PDO IT to facilitate any necessary demos for the Business Stakeholders. - Partner with Business teams to determine the value of benefits from EWM implementation. - Assist Business teams in aligning their business values with insights from previous launch experiences. - Facilitate Fit gap sessions with EWM PDO IT and plant MP&L business to analyze warehouse layout, storage types, sections, bins, Inbound and Outbound docks. - Finalize the change request requirements for a plant following the Fit gap sessions and ensure alignment with the plant Business team. - Schedule Training & UAT Sessions with EWM IT and MP&L Business teams. - Lead the UAT sessions by outlining the agenda and collaborating with IT to generate test data in the lower environment. - Actively participate in the Training and UAT sessions to ensure the business team comprehends the process. - Collaborate with WMS PDO IT to supply test data for Training 2. - Monitor and resolve UAT defects within the UAT timeline in close collaboration with IT and the plant Business team. - Conduct NG CMMS3 training for the Master data owner in the plant MP&L and Plant PIA teams. - Follow up with the business to finalize the EWM user list and conduct Conflict validation in collaboration with the CMMS3 security administration team before submitting the access request. - Conduct random validation of SMART Pick quantity versus Supplier Shipping pallet quantity to prevent additional work for workers during the picking process. - Assist in extending Parts planned for WMS launch into CMMS3 through the excel upload function as part of the launch process. - Validate that the Part master Pack spec Carrier code business partner and ASN relevant for the part numbers are available in EWM during the launch cutover activity. - Conduct random physical validation of the inventory provided by the business for the initial stock upload. Education Qualification: - B.E / B. Tech Degree Number of Years of Experience: - 3-5 Years Required Experience: - Project Management and Team player - Expertise in CMMS, SAP EWM, Smart PFEP - Exposure to Material handling operations in manufacturing environment - Proficiency in Microsoft Office (Word, Excel, PowerPoint) As part of Ford's Technological Transformation Journey, you will leverage your expert knowledge in EWM to spearhead and support Global EWM launches. Your responsibilities will include leading process/Fit gap discussions, comprehensive plant team training, supporting testing and validation, and ensuring overall launch readiness to meet operational and strategic objectives globally. You will also be responsible for communicating progress across the organization. - Initiate SAP EWM overview discussions with Plant MP&L IT and MFE teams to kickstart the implementation process. - Provide MP&L Business stakeholders with a comprehensive understanding of SAP EWM functionalities, the launch process, expected business support, and the Global Warehouse template. - Collaborate with EWM PDO IT to facilitate any necessary demos for the Business Stakeholders. - Partner with Business teams to determine the value of benefits from EWM implementation. - Assist Business teams in aligning their business values with insights from previous launch experiences. - Facilitate Fit gap sessions with EWM PDO IT and plant MP&L business to analyze warehouse layout, storage types, sections, bins, Inbound and Outbound docks. - Finalize the change request requirements for a plant following the Fit gap sessions and ensure alignment with the plant Business team. - Schedule Training & UAT Sessions with EWM IT and MP&L Business teams. - Lead the UAT sessions by outlining the agenda and collaborating with IT to generate test data in the lower environment. - Actively participate in the Training and UAT sessions to ensure the business team comprehends the process. - Collaborate with WMS PDO IT to supply test data for Training 2. - Monitor and resolve UAT defects within the UAT timeline in close collaboration with IT and the plant Business team. - Conduct NG CMMS3 training for the Master data owner in the plant MP&L and Plant PIA teams. - Follow up with the business to finalize the EWM user lis

As a System Integration Testing Engineer, your role will involve the integration testing of complex systems to ensure regulatory compliance. You will need to understand and document regulatory requirements and standards, influence hardware and software design for quality assurance, and stay updated on relevant regulatory changes. Your responsibilities will also include ensuring Ford products pass certification tests at agency labs, preparing detailed test reports and compliance documentation, and conducting risk assessments for compliance issues. Additionally, you will collaborate with cross-functional teams on product requirements and failure analyses. Key Responsibilities: - Understand and document regulatory requirements and standards - Influence hardware and software design to ensure quality and meet global regulatory standards - Stay updated on relevant regulatory changes - Ensure Ford products pass certification tests at agency labs - Prepare and maintain detailed test reports, compliance documentation, and regulatory submissions - Conduct risk assessments and develop mitigation strategies for potential compliance issues - Continuously improve testing and compliance processes - Collaborate with cross-functional teams on product requirements, validation, and failure analyses Qualifications Required: - Bachelor's degree in electrical engineering, Systems Engineering - 4 years of experience in system integration testing and regulatory compliance, preferably in Automotive, EV, Charging/Energy management industry - Knowledge of regulatory standards and requirements relevant to EV industry, specifically UL, IEC, ISO as applicable to electrical and electronics modules/assemblies - Excellent problem-solving skills and attention to detail - Strong communication and documentation skills - Ability to work independently and collaboratively in a team environment - Familiarity with risk assessment and mitigation strategies As a System Integration Testing Engineer, your role will involve the integration testing of complex systems to ensure regulatory compliance. You will need to understand and document regulatory requirements and standards, influence hardware and software design for quality assurance, and stay updated on relevant regulatory changes. Your responsibilities will also include ensuring Ford products pass certification tests at agency labs, preparing detailed test reports and compliance documentation, and conducting risk assessments for compliance issues. Additionally, you will collaborate with cross-functional teams on product requirements and failure analyses. Key Responsibilities: - Understand and document regulatory requirements and standards - Influence hardware and software design to ensure quality and meet global regulatory standards - Stay updated on relevant regulatory changes - Ensure Ford products pass certification tests at agency labs - Prepare and maintain detailed test reports, compliance documentation, and regulatory submissions - Conduct risk assessments and develop mitigation strategies for potential compliance issues - Continuously improve testing and compliance processes - Collaborate with cross-functional teams on product requirements, validation, and failure analyses Qualifications Required: - Bachelor's degree in electrical engineering, Systems Engineering - 4 years of experience in system integration testing and regulatory compliance, preferably in Automotive, EV, Charging/Energy management industry - Knowledge of regulatory standards and requirements relevant to EV industry, specifically UL, IEC, ISO as applicable to electrical and electronics modules/assemblies - Excellent problem-solving skills and attention to detail - Strong communication and documentation skills - Ability to work independently and collaboratively in a team environment - Familiarity with risk assessment and mitigation strategies

As an Analyst at Exchange CoE, your role involves managing key financial forecasting and reporting activities for various segments. Your responsibilities will include: - **Own Financial Planning & Analysis**: - Take ownership of the Model e segment's Exchange Variance. - Develop robust monthly forecasts and report timely actuals for IMG & CN. - Perform insightful variance analysis and drive the creation of the annual Business Plan. - **Communicate Performance**: - Regularly review and clearly communicate financial results, forecasts, and planning scenarios for Model e. - **System Expertise**: - Act as IMPRS subject matter expert. - Ensure exposures for region/skill teams are loaded appropriately. - **Assist Treasury in Hedge Strategy**: - Report monthly/quarterly exchange exposure movements to corporate treasury. - Provide explanations for basis on which quarterly hedge strategy is finalized. - **Profitability Reporting**: - Analyze and publish global Product Line Profitability (PLP) reports in alignment with key financial cycles. - **Drive Continuous Improvement**: - Identify opportunities and lead initiatives to streamline workflows and improve data accuracy. - Enhance the overall effectiveness of financial processes for both Corporate Other and the Reporting CoE. - **Ad-Hoc Analytical Support**: - Conduct ad-hoc financial analysis and comparisons as requested by Business Units and Corporate functions. - **System Expertise & Training**: - Develop and maintain subject matter expertise on the profit system's functionality, administration, and controls. - Leverage this knowledge to effectively train end-users. To be successful in this role, you should possess the following qualifications: - **Education & Experience**: - Professional qualification (CA, CMA) or MBA. - Prior experience or strong knowledge in Financial Planning & Analysis (FP&A), Material Costing, or Manufacturing Finance is highly beneficial. - **Expected Traits & Pre-requisites for Success**: - Strong analytical capabilities with a proven ability to understand key financial and operational drivers behind variances. - Effective problem-solving skills with the ability to identify root causes and propose solutions. - Meticulous attention to detail and high standards for accuracy. - Demonstrated ability to work independently, take initiative, manage priorities effectively, and follow through on assignments. - Proven capacity to manage multiple tasks concurrently in a deadline-driven environment. - Strong coordination skills with the ability to effectively collaborate within a team and across different functions/regions. - Excellent communication skills (written, verbal, and presentation). - A proactive approach to learning and a willingness to develop new skills and knowledge. As an Analyst at Exchange CoE, your role involves managing key financial forecasting and reporting activities for various segments. Your responsibilities will include: - **Own Financial Planning & Analysis**: - Take ownership of the Model e segment's Exchange Variance. - Develop robust monthly forecasts and report timely actuals for IMG & CN. - Perform insightful variance analysis and drive the creation of the annual Business Plan. - **Communicate Performance**: - Regularly review and clearly communicate financial results, forecasts, and planning scenarios for Model e. - **System Expertise**: - Act as IMPRS subject matter expert. - Ensure exposures for region/skill teams are loaded appropriately. - **Assist Treasury in Hedge Strategy**: - Report monthly/quarterly exchange exposure movements to corporate treasury. - Provide explanations for basis on which quarterly hedge strategy is finalized. - **Profitability Reporting**: - Analyze and publish global Product Line Profitability (PLP) reports in alignment with key financial cycles. - **Drive Continuous Improvement**: - Identify opportunities and lead initiatives to streamline workflows and improve data accuracy. - Enhance the overall effectiveness of financial processes for both Corporate Other and the Reporting CoE. - **Ad-Hoc Analytical Support**: - Conduct ad-hoc financial analysis and comparisons as requested by Business Units and Corporate functions. - **System Expertise & Training**: - Develop and maintain subject matter expertise on the profit system's functionality, administration, and controls. - Leverage this knowledge to effectively train end-users. To be successful in this role, you should possess the following qualifications: - **Education & Experience**: - Professional qualification (CA, CMA) or MBA. - Prior experience or strong knowledge in Financial Planning & Analysis (FP&A), Material Costing, or Manufacturing Finance is highly beneficial. - **Expected Traits & Pre-requisites for Success**: - Strong analytical capabilities with a proven ability to understand key financial and operational drivers behind vari

Role Overview: You will be responsible for developing and implementing data analyses, data collection systems, and other strategies to optimize statistical efficiency. It is essential to have strong analytical and problem-solving skills, along with the ability to communicate complex ideas clearly and concisely. Having a keen interest in business problems, a strong business acumen, and staying updated with the latest industry information is crucial. Experience in descriptive analytics & reporting, as well as efficiently analyzing large customer data sets from multiple sources, is highly desirable. You will compile and analyze modeling results and translate them into actionable insights. If you are a highly motivated individual with a passion for data, this role is for you. Key Responsibilities: - Perform statistical analyses, explore data, and identify patterns - Use data visualization tools such as Qlik Sense, Power BI, and Looker to identify patterns and present findings to stakeholders - Conduct diagnostic analysis to identify relationships and patterns in descriptive data to understand the root cause of problems - Utilize data for predictive analysis to make projections about the future based on historical records - Implement process improvements to enhance data efficiency, ensure quality assurance, and define Key Performance Indicators (KPIs) - Report trends to add business value - Support client objectives and project goals through data analysis, data mining, and developing insightful reports, visualizations, and dashboards using programming languages & tools such as Python, SQL, Alteryx, Qlik Sense, and PowerBI - Understand project team requirements, process data sets of varying complexities, generate insightful reports, develop appropriate wireframes/visualizations, and associated data workflows Qualifications: - Masters degree in Statistics, Econometrics, Operation Research, or any other quantitative discipline, or an Engineering degree with an MBA from a premier institute with a quantitative emphasis - 4-8 years of experience in Data Analytics, Insight Generation, Automation, Data Visualization, and/or Data Science - Proficiency in programming, preferably Python/PySpark and SQL for Data Analysis - Experience working on cloud platforms, especially GCP - BI Tools: 3 years of experience in Power BI (preferred) and/or Tableau - Ability to exercise independent judgment and decision-making on complex issues related to job duties - Capable of working under minimal supervision using independent judgment Role Overview: You will be responsible for developing and implementing data analyses, data collection systems, and other strategies to optimize statistical efficiency. It is essential to have strong analytical and problem-solving skills, along with the ability to communicate complex ideas clearly and concisely. Having a keen interest in business problems, a strong business acumen, and staying updated with the latest industry information is crucial. Experience in descriptive analytics & reporting, as well as efficiently analyzing large customer data sets from multiple sources, is highly desirable. You will compile and analyze modeling results and translate them into actionable insights. If you are a highly motivated individual with a passion for data, this role is for you. Key Responsibilities: - Perform statistical analyses, explore data, and identify patterns - Use data visualization tools such as Qlik Sense, Power BI, and Looker to identify patterns and present findings to stakeholders - Conduct diagnostic analysis to identify relationships and patterns in descriptive data to understand the root cause of problems - Utilize data for predictive analysis to make projections about the future based on historical records - Implement process improvements to enhance data efficiency, ensure quality assurance, and define Key Performance Indicators (KPIs) - Report trends to add business value - Support client objectives and project goals through data analysis, data mining, and developing insightful reports, visualizations, and dashboards using programming languages & tools such as Python, SQL, Alteryx, Qlik Sense, and PowerBI - Understand project team requirements, process data sets of varying complexities, generate insightful reports, develop appropriate wireframes/visualizations, and associated data workflows Qualifications: - Masters degree in Statistics, Econometrics, Operation Research, or any other quantitative discipline, or an Engineering degree with an MBA from a premier institute with a quantitative emphasis - 4-8 years of experience in Data Analytics, Insight Generation, Automation, Data Visualization, and/or Data Science - Proficiency in programming, preferably Python/PySpark and SQL for Data Analysis - Experience working on cloud platforms, especially GCP - BI Tools: 3 years of experience in Power BI (preferred) and/or Tableau - Ability to exercise independent judgment and decision-making on complex

Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team of data scientists, data engineers, and software engineers to solve complex problems and translate business needs into analytical solutions. - Work hands-on with the team to develop and judge among candidate ML models, contribute to best practices in model development, conduct code reviews, and apply state-of-the-art techniques. - Develop and apply analytical solutions to address real-world automotive and quality challenges. - Initiate and manage cross-functional projects, build relationships with business partners, and influence decision-makers. - Communicate insights to business customers and executives, collaborate internally and externally to identify new data sources, explore emerging technologies for model development, and sustain a highly performing team. - Collaborate, negotiate, and work effectively with coworkers at all levels, and align requirements to business demands with the Product Line Owner. Qualifications: - Masters degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or related fields. - 5 years of domain experience delivering analytics solutions in areas such as Sustainability, Regulatory, Electrification, Legal, and Cycle Planning. - 10 years of experience in the analytics domain with 3 years of supervisory experience. - Familiarity with SQL, Spark, Hive, Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI. - Strong drive for results, urgency, attention to detail, verbal and written communication skills, ability to work in a fast-paced environment, and familiarity with NLP, Deep Learning, neural network architectures, and Agile & PDO processes. - Experience in BEV is a plus, as well as software delivery experience. Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team of data scientists, data engineers, and software engineers to solve complex problems and translate business needs into analytical solutions. - Work hands-on with the team to develop and judge among candidate ML models, contribute to best practices in model development, conduct code reviews, and apply state-of-the-art techniques. - Develop and apply analytical solutions to address real-world automotive and quality challenges. - Initiate and manage cross-functional projects, build relationships with business partners, and influence decision-makers. - Communicate insights to business customers and executives, collaborate internally and externally to identify new data sources, explore emerging technologies for model development, and sustain a highly performing team. - Collaborate, negotiate, and work effectively with coworkers at all levels, and align requirements to business demands with the Product Line Owner. Qualifications: - Masters degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or related fields. - 5 years of domain experience delivering analytics solutions in areas such as Sustainability, Regulatory, Electrification, Legal, and Cycle Planning. - 10 years of experience in the analytics domain with 3 years of supervisory experience. - Familiarity with SQL, Spark, Hive, Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI. - Strong drive for results, urgency, attention to detail, verbal and written communication skills, ability to work in a fast-paced environment, and familiarity with NLP, Deep Learning, neural network architectures, and Agile & PDO processes. - Experience in BEV is a plus, as well as software delivery experience.

Role Overview: You will be responsible for supporting full observability and monitoring processes to ensure customer uptime of 99.999%. Your role will involve collaborating with the network operations team to identify improvement opportunities and working with the network engineering team and OEMs to implement solutions through automation. You will also be required to proactively identify and report security gaps and vulnerabilities, plan for end-to-end network and security projects, and support technical incident management calls and change controls. Key Responsibilities: - Collaborate with the network operations team to identify continuous improvement opportunities - Work with the network engineering team and OEMs to implement solutions through automation - Identify and report security gaps and vulnerabilities to critical business systems - Plan for end-to-end network and security project implementations - Support major technical incident management calls and change controls - Perform configuration updates on network security tools as directed - Collaborate with global leaders to ensure 24/7 network availability - Ensure high-quality Follow the Sun (FTS) is delivered to receiving teams - Support on-call schedule and shifts - Support continuous improvement in service management for network services - Implement best practices and processes for network and security operations - Monitor system performance and health, troubleshoot issues, and implement corrective actions - Optimize infrastructure for application performance and scalability - Support team members in achieving technical network excellence - Develop improvements for an always-on network capability - Develop security policies, standards, and procedures - Assist with security compliance audits - Proficient in routing and switching protocols, wireless technology, data center operations, WAN/SD-WAN/SDN, and network monitoring tools - Experience with Cisco firewalls, Viavi Observer, and Wireshark for packet analysis - Familiarity with end-user security strategies - Educational background in computer science engineering or related field - Experience in project leadership - Ability to engineer and deploy updates using JavaScript - Proficiency in F5 load balancer knowledge - Strong troubleshooting skills - Hands-on experience with networking services and operations - Minimum of 3 years of experience with Cisco firewalls/VPNs - At least 6 years of experience in network security engineering roles within medium to large-scale enterprises Qualifications Required: - Bachelor's degree in computer science engineering or related field - Experience leading or participating in enhancement projects - Ability to engineer and deploy updates using JavaScript - Proficiency in F5 load balancer knowledge - Strong experience in troubleshooting network environments - Minimum of 3 years of experience with Cisco firewalls/VPNs - At least 6 years of experience in network security engineering roles within medium to large-scale enterprises - Total of 12 years of enterprise IT experience Role Overview: You will be responsible for supporting full observability and monitoring processes to ensure customer uptime of 99.999%. Your role will involve collaborating with the network operations team to identify improvement opportunities and working with the network engineering team and OEMs to implement solutions through automation. You will also be required to proactively identify and report security gaps and vulnerabilities, plan for end-to-end network and security projects, and support technical incident management calls and change controls. Key Responsibilities: - Collaborate with the network operations team to identify continuous improvement opportunities - Work with the network engineering team and OEMs to implement solutions through automation - Identify and report security gaps and vulnerabilities to critical business systems - Plan for end-to-end network and security project implementations - Support major technical incident management calls and change controls - Perform configuration updates on network security tools as directed - Collaborate with global leaders to ensure 24/7 network availability - Ensure high-quality Follow the Sun (FTS) is delivered to receiving teams - Support on-call schedule and shifts - Support continuous improvement in service management for network services - Implement best practices and processes for network and security operations - Monitor system performance and health, troubleshoot issues, and implement corrective actions - Optimize infrastructure for application performance and scalability - Support team members in achieving technical network excellence - Develop improvements for an always-on network capability - Develop security policies, standards, and procedures - Assist with security compliance audits - Proficient in routing and switching protocols, wireless technology, data center operations, WAN/SD-WAN/SDN, and network monitoring tools - E

As a Supply Chain Coordinator, your role involves reviewing daily part lists from Plant PVT or VFG engineers and providing timely and accurate status on part requests. You will be responsible for liaising with dealers to ensure quicker part returns and coordinating with transport companies for trouble-free shipment. Your duties also include ensuring proper shipping documents are sent to dealers, recording analysis results in WPA, creating RAC Codes in PEARS, and interacting with various stakeholders for efficient part returns. Proficiency in tools like MS Office with advanced Excel tools and PowerPoint, WPAC database, GSAR PEARS, and CMMS is required. Knowledge of DMAIC/8D methodology, basic computer applications, and excellent program management skills are essential. Additionally, good interpersonal skills and excellent verbal and written communication are key for this role. Proficiency in Spanish/French is an added advantage. Key Responsibilities: - Review daily part list from Plant PVT or VFG engineers - Provide timely and accurate status on part requests - Liaise with dealers for quicker part returns - Liaise with transport companies for trouble-free shipment and resolve transportation issues - Ensure proper shipping documents are sent to dealers - Record analysis results in WPA and create RAC Codes in PEARS - Interact with different stakeholders for efficient part returns Qualifications: - Degree in Engineering with 2 years of experience - Diploma with 3-5 years of experience Please note that this role requires experience in customer interface functions in the automotive industry, willingness to work in NA shift timings, knowledge of quality indicators, product development, and logistics experience. Six Sigma Greenbelt or Blackbelt certification is preferred. As a Supply Chain Coordinator, your role involves reviewing daily part lists from Plant PVT or VFG engineers and providing timely and accurate status on part requests. You will be responsible for liaising with dealers to ensure quicker part returns and coordinating with transport companies for trouble-free shipment. Your duties also include ensuring proper shipping documents are sent to dealers, recording analysis results in WPA, creating RAC Codes in PEARS, and interacting with various stakeholders for efficient part returns. Proficiency in tools like MS Office with advanced Excel tools and PowerPoint, WPAC database, GSAR PEARS, and CMMS is required. Knowledge of DMAIC/8D methodology, basic computer applications, and excellent program management skills are essential. Additionally, good interpersonal skills and excellent verbal and written communication are key for this role. Proficiency in Spanish/French is an added advantage. Key Responsibilities: - Review daily part list from Plant PVT or VFG engineers - Provide timely and accurate status on part requests - Liaise with dealers for quicker part returns - Liaise with transport companies for trouble-free shipment and resolve transportation issues - Ensure proper shipping documents are sent to dealers - Record analysis results in WPA and create RAC Codes in PEARS - Interact with different stakeholders for efficient part returns Qualifications: - Degree in Engineering with 2 years of experience - Diploma with 3-5 years of experience Please note that this role requires experience in customer interface functions in the automotive industry, willingness to work in NA shift timings, knowledge of quality indicators, product development, and logistics experience. Six Sigma Greenbelt or Blackbelt certification is preferred.

As the Technical Director for the CRM Platform Enablement product line, you will provide guidance to teams in building and delivering foundational cloud capabilities on Salesforce. Your responsibilities will include: - Designing and instructing the solution framework to the Salesforce development team. - Creating POCs to aid in understanding the proposed solution and leading solution meetings with Customers. - Collaborating in a consultative manner to enhance communication, collaboration, and alignment among teams both within and outside the organization. - Working with the Salesforce Anchor (architect) community to ensure consistency in integrations, data model, and patterns. - Remaining up-to-date on Salesforce releases, new features, and product roadmaps. - Working closely with Product Line Managers to incorporate continuous technical improvements in the Product Line roadmap. - Collaborating with other Product Anchors to simplify complexity across the portfolio, improve interoperability between services, and make critical design decisions. - Ensuring engineering excellence, including adherence to best practices and quality standards, within the product group. - Clearly articulating the technology strategy and vision to team members, as well as internal and external customers. - Innovating and operating with an iterative, agile, and user-centric approach. - Providing thought leadership on development, structure, technology, and tools within Ford Pro Tech. - Actively participating in CRM Tech Councils by introducing or supporting topics to ensure they align with Ford Pro and CRM patterns. Qualifications required for this role include: - Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent, or a combination of education and equivalent experience. - Experience with all Salesforce Cloud. - Certification in Salesforce Architecture. - Strong oral and written communication skills. - Ability to multitask and manage changing priorities. - Strong collaboration and interpersonal skills. As the Technical Director for the CRM Platform Enablement product line, you will provide guidance to teams in building and delivering foundational cloud capabilities on Salesforce. Your responsibilities will include: - Designing and instructing the solution framework to the Salesforce development team. - Creating POCs to aid in understanding the proposed solution and leading solution meetings with Customers. - Collaborating in a consultative manner to enhance communication, collaboration, and alignment among teams both within and outside the organization. - Working with the Salesforce Anchor (architect) community to ensure consistency in integrations, data model, and patterns. - Remaining up-to-date on Salesforce releases, new features, and product roadmaps. - Working closely with Product Line Managers to incorporate continuous technical improvements in the Product Line roadmap. - Collaborating with other Product Anchors to simplify complexity across the portfolio, improve interoperability between services, and make critical design decisions. - Ensuring engineering excellence, including adherence to best practices and quality standards, within the product group. - Clearly articulating the technology strategy and vision to team members, as well as internal and external customers. - Innovating and operating with an iterative, agile, and user-centric approach. - Providing thought leadership on development, structure, technology, and tools within Ford Pro Tech. - Actively participating in CRM Tech Councils by introducing or supporting topics to ensure they align with Ford Pro and CRM patterns. Qualifications required for this role include: - Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent, or a combination of education and equivalent experience. - Experience with all Salesforce Cloud. - Certification in Salesforce Architecture. - Strong oral and written communication skills. - Ability to multitask and manage changing priorities. - Strong collaboration and interpersonal skills.

As an Analyst at our company, you will be responsible for leading the administration of various Variable Marketing Programs in IMG, China, and US markets. Your key responsibilities will include: - Developing Program & Announcement Templates - Authoring Incentive Programs & their related Program Announcements - Supporting application Security Administration - Managing dealer claims and reconciliations - Working closely with the Retail Marketing (RM) Teams & market stakeholders for timely releases of VM Programs - Understanding the suite of application reports to assist the RM Team & markets in VM Program Analysis - Ensuring consistency across markets for adherence to IMG Retail Reporting & various VM Programs - Developing desktop procedures for new markets and ongoing administration of desktop documentation - Supporting Retail Marketing initiatives & projects on an ad hoc basis Qualifications for this position include: - Good analytical skills and Strong English communication skills, both verbal & written - Strong Excel skills - both formula and data handling - Exposure to process automation & related technologies - Previous experience in application-based processes is preferred - Flexibility to work in multiple time zones and rotational shifts Preferred but not mandatory qualifications include: - Automotive experience, including an understanding of dealership operations - Analytical position with exposure to Marketing in previous roles - Knowledge of Retail Marketing & Sales processes and awareness of Dealer communication bulletin (DCB) This position is open to SG5, but SG4 and below grades can also apply as Lateral. If you possess the required experience and skills, we encourage you to apply for this exciting opportunity. As an Analyst at our company, you will be responsible for leading the administration of various Variable Marketing Programs in IMG, China, and US markets. Your key responsibilities will include: - Developing Program & Announcement Templates - Authoring Incentive Programs & their related Program Announcements - Supporting application Security Administration - Managing dealer claims and reconciliations - Working closely with the Retail Marketing (RM) Teams & market stakeholders for timely releases of VM Programs - Understanding the suite of application reports to assist the RM Team & markets in VM Program Analysis - Ensuring consistency across markets for adherence to IMG Retail Reporting & various VM Programs - Developing desktop procedures for new markets and ongoing administration of desktop documentation - Supporting Retail Marketing initiatives & projects on an ad hoc basis Qualifications for this position include: - Good analytical skills and Strong English communication skills, both verbal & written - Strong Excel skills - both formula and data handling - Exposure to process automation & related technologies - Previous experience in application-based processes is preferred - Flexibility to work in multiple time zones and rotational shifts Preferred but not mandatory qualifications include: - Automotive experience, including an understanding of dealership operations - Analytical position with exposure to Marketing in previous roles - Knowledge of Retail Marketing & Sales processes and awareness of Dealer communication bulletin (DCB) This position is open to SG5, but SG4 and below grades can also apply as Lateral. If you possess the required experience and skills, we encourage you to apply for this exciting opportunity.

As a Simulation Engineer - Facility at Ford Motor Company, you will play a crucial role in developing cutting-edge facilities for automotive production. Your expertise in simulation will be key to optimizing processes and contributing to the success of the company. Here's a detailed overview of your responsibilities: - Develop and maintain simulation models for various automotive production facilities. - Collaborate with cross-functional teams to identify and implement simulation-based solutions for process optimization. - Conduct virtual simulations to evaluate production line layouts, material flow, and resource utilization. - Analyze simulation results and provide recommendations for improvement to increase efficiency and reduce costs. - Continuously improve and update simulation models to reflect changes in facility layout, equipment, and processes. - Communicate and present simulation results to stakeholders, including senior management, to support decision-making. - Stay updated on industry trends and advancements in simulation technology to drive innovation and improve processes. - Troubleshoot and resolve technical issues related to simulation models and software. - Collaborate with suppliers and contractors to ensure accurate and timely delivery of simulation projects. - Participate in design reviews and provide inputs for facility design improvements. - Ensure compliance with all safety and regulatory standards in the development and implementation of simulation models. - Mentor and train junior simulation engineers to support their professional development. - Maintain accurate documentation and records of simulation projects and results. At Ford Motor Company, we are committed to diversity and creating an inclusive environment for all employees. We value individuals from various backgrounds and do not discriminate based on race, religion, gender, age, or other legally protected characteristics. Join us in driving innovation and shaping the future of automotive production. As a Simulation Engineer - Facility at Ford Motor Company, you will play a crucial role in developing cutting-edge facilities for automotive production. Your expertise in simulation will be key to optimizing processes and contributing to the success of the company. Here's a detailed overview of your responsibilities: - Develop and maintain simulation models for various automotive production facilities. - Collaborate with cross-functional teams to identify and implement simulation-based solutions for process optimization. - Conduct virtual simulations to evaluate production line layouts, material flow, and resource utilization. - Analyze simulation results and provide recommendations for improvement to increase efficiency and reduce costs. - Continuously improve and update simulation models to reflect changes in facility layout, equipment, and processes. - Communicate and present simulation results to stakeholders, including senior management, to support decision-making. - Stay updated on industry trends and advancements in simulation technology to drive innovation and improve processes. - Troubleshoot and resolve technical issues related to simulation models and software. - Collaborate with suppliers and contractors to ensure accurate and timely delivery of simulation projects. - Participate in design reviews and provide inputs for facility design improvements. - Ensure compliance with all safety and regulatory standards in the development and implementation of simulation models. - Mentor and train junior simulation engineers to support their professional development. - Maintain accurate documentation and records of simulation projects and results. At Ford Motor Company, we are committed to diversity and creating an inclusive environment for all employees. We value individuals from various backgrounds and do not discriminate based on race, religion, gender, age, or other legally protected characteristics. Join us in driving innovation and shaping the future of automotive production.

As a Senior IC, your role will involve generating and analyzing critical part lists from CMMS3 and liaising with suppliers on a daily basis for shipments. You will be responsible for arranging airfreight of critical parts for customer plants in a timely manner, analyzing and allocating cost responsibility for each airfreight, and obtaining concurrence from relevant parties. Additionally, you will be utilizing the EXTRACT system for authorization of premium freight cost tracking and updating the agreed cost. Your key responsibilities will include: - Ensuring effective supplier/part resourcing and updating in the system after consulting with customer suppliers and purchasing teams. - Identifying and highlighting potential production risks to customer plants, involving other departments as necessary, and exploring alternative material sources for assistance. - Communicating issues on common parts/commodities to prevent late identification of problems at customer plants. - Coordinating contingency plans for shutdowns, strikes, etc., with suppliers, EDCs, and customers to develop alternate plans for potential issues. - Addressing and following up on long-term supplier problems and assisting customer plants in verification and communication processes. - Performing release analysis to identify schedule variations and new parts, addressing abnormal variations, wrong releases, packaging issues, etc., to prevent over shipments, airfreights, and obsolescence. - Managing inventory by analyzing under shipments and over shipments, identifying root causes, and resolving issues regularly. - Monitoring carrier efficiencies, checking for transit delays, and analyzing root causes in consultation with logistics providers. - Improving supplier delivery performance and utilizing the SUPER-G system for recording and resolving delivery performance and response issues. - Educating and supporting suppliers in using CMMS3 DDL, creating advance shipping notices (ASN), checking the DCI regularly, and inputting shipment confirmations in CMMS. - Monitoring and assisting suppliers on data integrity issues to prevent criticality due to data discrepancies. - Generating MIS reports as and when required and supporting customer plants in case of claims by facilitating the process with the supplier. - Being flexible to work on Asia/Europe/North America work timing as per requirements. - Participating and contributing to Innovation/TVM activities to realize cost and process efficiency. Qualifications: - Education Qualification: BE - Number of Years of Experience: Minimum 5 - 8 years - Professional Exposure: Exposure in Material flow Manufacturing Supply Chain/Logistics (added advantage)/Procurement - Special Knowledge or skill required: Excellent oral and written communication (in English), knowledge in corporate MRP systems, good analytical skills - IT Exposure: Operation skills on Alteryx Power BI/QlikSense/GCP will be an added advantage - Knowledge of MS Office is a must This job requires a candidate with a Bachelor of Engineering degree, 5-8 years of experience, exposure in material flow manufacturing supply chain/logistics/procurement, excellent communication skills, knowledge of corporate MRP systems, good analytical skills, and proficiency in MS Office. Additionally, familiarity with Alteryx Power BI, QlikSense, or GCP is beneficial for this role. As a Senior IC, your role will involve generating and analyzing critical part lists from CMMS3 and liaising with suppliers on a daily basis for shipments. You will be responsible for arranging airfreight of critical parts for customer plants in a timely manner, analyzing and allocating cost responsibility for each airfreight, and obtaining concurrence from relevant parties. Additionally, you will be utilizing the EXTRACT system for authorization of premium freight cost tracking and updating the agreed cost. Your key responsibilities will include: - Ensuring effective supplier/part resourcing and updating in the system after consulting with customer suppliers and purchasing teams. - Identifying and highlighting potential production risks to customer plants, involving other departments as necessary, and exploring alternative material sources for assistance. - Communicating issues on common parts/commodities to prevent late identification of problems at customer plants. - Coordinating contingency plans for shutdowns, strikes, etc., with suppliers, EDCs, and customers to develop alternate plans for potential issues. - Addressing and following up on long-term supplier problems and assisting customer plants in verification and communication processes. - Performing release analysis to identify schedule variations and new parts, addressing abnormal variations, wrong releases, packaging issues, etc., to prevent over shipments, airfreights, and obsolescence. - Managing inventory by analyzing under shipments and over shipments, identifying root causes, and resolving issues regularly. - Monitoring ca