Job Description Cost: Validate quote(Piece Price & Tooling cost) negotiate and finalize trhe commercials with cost data mapping including best of best, bench marking/market data gathering on commodity, economics & suppliers financial data Program Develops and execute negotiation strategies to deliver Program targets on tooling and piece price. Proactive planning of activities to meet/beat Matched Pair objectives. TVM Accountable for Managing material cost Negotiate and achieve YOY / MYA cost reductions through development & utilization of analytical tools to deliver Best-In-Class pricing. Lead negotiations with regional suppliers and represent Ford in global negotiations Champion Lean / Value Engineering projects with suppliers and bring value chain benefits to Ford Supply-base Development Lead / Support CFT in development of sustainable supply base with leadership in Quality, Delivery & costing Drive for the localization and cost saving for the affected markets to meet the market regulations Identification of High-risk suppliers and develop action plan to mitigate risk Strategy Development Effective participant in Global commodity meetings to bring value to Purchase Group by leveraging global / regional programs with global suppliers to meet our both TVM and Program objectives Formulate Regional commodity strategy for near and long business term and effective infusion of the same in Global commodity business plan Leadership Skills: Integrity, commitment to delivery, ability to prioritize and juggle conflicting priorities & team work Responsibilities Professional Exposure: Excellent research, data mining, analytical and problem solving skills 2) Extremely good Presentation & Communication skills (written and verbal) Attitude to work in challenging environment Ability to understand cost drivers and achieve desired cost structures Good Manufacturing Process knowledge of various commodities Able to lead structured supplier meetings and drive desired outcome. Be an excellent negotiator, drive creative solutions & self starter. Keep up commitments on time; Be Proactive and question logically Willing to learn / teach and share experience with team member Preferred previous experiences: Comprehensive knowledge of various commodities (Electrical and Electronics Components) Special Skills Sets Required: Able to work in different time zone and manage relationships with regional supply base / Cross functional / JV team; Proficiency in below competencies.\ Functional/Technical Skills: Mfg Process knowledge, Negotiation, Project Management and GPDS skills Competency "Desired Proficiency Level" Negotiations - Excellent Commodity Knowledge - Excellent Strategy Development - Excellent Analytical Skills - Part Cost Estimating Good Buying Systems, Policies and Processes Excellent Analytical Skills - Balance Sheet and Ratios Good Analytical Skills - Lean Manufacturing Good Project Management- Excellent Knowledge Transfer -Excellent GPDS Knowledge - Buying Good Ensure process discipline Have a continuous improvement philosophy and practice Qualifications Bachelors Degree or equivelent(Electrical and Electronics is preferred) No. of Years of Experience: 6+ years related experience (Automobile Category buying experience on Electrical and Electronics commodity is preferred)

Job Description Transformation team is looking for Automation specialist with experience in automating business processes using a variety of tools including PEGA and Power Platform with a key focus on Agile mindset and quick solutions. The ideal candidate will drive projects with direct business interaction and will also work collaboratively with Process Re-engineers and Data & tech team members. Responsibilities Provide in depth analysis of the business process & data and recommend automation feasibility.Design and develop automation solutions suitable to the business problem independently with high quality.Work with agile mindset iteratively and develop automation end to end solution and deliver independently with good quality.Track automation projects, guide team members and review automation deliverables. Qualifications Educational Background: Degree in Computer Science, Business Administration, Engineering, Mathematics, or related fields. At least 8+ years overall experience, with significant experience in Automation and analytics tools like PEGA, Power platform, Qlik Sense.Strong understanding of LCNC tools and features.Excellent written and verbal communication.

Job Description FBS Lease Accounting is responsible for the oversight and operation of lease accounting processes of Ford Motor Company and its affiliates across the globe, including lease receivables, payables, administration and lease reconciliation. The position requires solid accounting knowledge combined with strong analytical skills of lease contracts. The position will support various aspects of the lease – Real estate and equipment leases. Need to work with various stake holders on the account reconciliations, assisting in various audits, and monitoring various metrics of the business to aide in daily operation decisions. The position also required general accounting responsibilities, including journal entries, and account reconciliation. The candidate will need to possess strong analyzing skills, work ethic, organizational skills, attention to details, decision making skills and ability to work with others. The candidate will fit well in an environment that rewards bright, self -starting, energetic, focused individuals with ever increasing responsibility and challenge. Responsibilities Candidate responsible for handling equipment lease requests from various skill teams globallyLiaise with skill teams to obtain the necessary information and clarification on equipment leasesSupport month close activities and process journals entries in the general ledgerPerform lease attestation, expiry review with the skill teams and handle necessary changes in TRIRIGAPreparation of lease commitment footnotes on quarterly basis and provide required details for other footnotes preparationIdentify the system related issues and report to system admin team on timely manner to resolve the issuesSupport in user acceptance testing for system upgradeCandidate should be willing to work in shifts according to the requirements Qualifications CA/CWA/CS - 0 -2 years experience Expert level knowledge in accounting standards Good Analytical Skills Self-Learning, Attention to details & Ability to handle independently Basic computing skills (MS EXCEL and PowerPoint) Good Oral and very good writing skills Control Mindset

Job Description AI/ML Advantage: Knowledge and Experience of designing, developing and implementing AI/ML products and experience with AI tools like GitHub Copilot, JetBrains AI Assistant, Cursor AI, or any other open-source tools like continue.dev etc. Prompt Engineering: Have extensive experience with prompt engineering and be able to effectively use language models to generate content or automate tasks, while working with new age technologies, frameworks etc. like React, Angular, Spring boot, FRF etc.Technical Proficiency: Experience in software development tools and a track record of modernizing technology, including cloud migrations and Enterprise Technology Refresh (ETR) initiatives for tools like SonarQube, uBuild, Jenkins, GitHub Actions etc.CI/CD Expertise: Demonstrates a strong ability to improve continuous integration through automation of the delivery pipeline.Automation and Scripting: Utilize scripting languages to automate large-scale data migration tasks.Code Analysis: Use SonarQube (or similar source code analyzers) to ensure code quality and identify potential vulnerabilities.Software Development: Java knowledge or experience to software development tasks. Utilize Spring/Spring boot knowledge to develop and maintain applications.Application Development: Utilize Java/J2EE, Python, or other technology development experience using RSA/RAD/Eclipse or similar tools.Cloud and Container Technologies: Work with Container as a Service (CaaS), Pivotal Cloud Foundry (PCF), Linux, WebSphere Application Server (WAS), and VM environments.Agile Mindset: Embodies an agile personality and a software craftsmanship mindset, contributing to the success of agile projects by actively participating in daily stand-up meetings, backlog grooming, prioritization efforts, and iteration planning sessions.Collaboration and Prioritization: Works effectively with Product Development Organization (PDO) teams to prioritize, plan, and deliver software that meets business needs.Service Delivery and Compliance: Delivers services within agreed-upon service levels, adheres to processes as per IT Security Policy, and provides comprehensive audit support.Cross-Functional Coordination: Coordinates seamlessly with various teams in IT, Enterprise Connectivity, and Product Development to ensure objectives are met efficiently.Process Improvement: Proactively identifies opportunities to improve processes and enhance the efficiency of data handling.Customer Focus: Works closely with Product team customers to understand their needs and translate requests into actionable backlog items and user stories. Responsibilities AI Adoption and Ethical Use: Embrace the exploration and application of AI technologies while adhering to ethical guidelines and ensuring responsible implementation.CI/CD Pipeline Development and Management: Design, build, and maintain efficient CI/CD pipelines using source code management tools (e.g., GitHub) and build/deployment tools (e.g., Jenkins, IBM uBuild, GH Actions) with hands-on experience to ensure effective code management and deployment.API Interaction and Data Gathering: Understand API collections and demonstrate proficiency in reading and writing JSON responses from various applications to gather metrics.Collaboration and Communication: Demonstrate strong collaborative and communication skills to effectively work with others, navigate complex decision-making processes, and adapt to working across different time zones with sensitivity to cultural and geographical differences.Technology Research and Implementation: Research and evaluate new technologies, influencing and implementing enterprise technology shifts and trends to improve Ford's application delivery processes.Troubleshooting and Support: Leverage strong technical expertise in an application development language to support product teams by troubleshooting build, scan analysis, testing, and deployment issues within the build pipeline.GCP Service Management: Demonstrate a strong understanding of various GCP services, including Compute Engine, Cloud SQL for PostgreSQL, and Google Kubernetes Engine (GKE), to effectively manage and utilize these services.DevOps and DevSecOps Practices: Implement and adhere to DevOps and DevSecOps principles to streamline development and enhance security.Backlog Management: Use backlog tools such as Rally/Jira to manage and track tasks effectively.Problem Solving: Apply strong analytical and problem-solving skills to resolve technical challenges.Continuous Learning: Demonstrate the ability to learn new technologies and processes such as Azure, Extreme Programming, Agile practices, etc., Qualifications Bachelor's degree (or equivalent qualification) in Computer Science or a related field.Minimum of 3 years of experience in IT development and/or data migration.Familiarity with Software Development methodologies, Quality Assurance practices, and Security & Control procedures.1+ year experience with Developer AI tools like GitHub Copilot, jetBrains AI assistant, continue.dev or LLMs etc.3+ years of hands-on experience with source code versioning tools, specifically Git/GitHub.3+ years of practical experience using Python, Shell, or JavaScript to handle APIs and JSON data.3+ years of experience with JUnit or Unittest/Pytest, and a strong understanding of Test-Driven Development (TDD) principles.3+ years of experience working with SQL Server or GCP Cloud SQL databases.3+ years of experience working within an Agile product team, utilizing development tools such as IntelliJ, JetBrains products, and other standard IDEs used by the development team.

Job Description The IT Manager at Sanand is responsible for all IT applications and services on-site, including planning, implementation and support of all IT systems and physical infrastructure. In addition he will be responsible for Managing PDC operations / NSC / Customer relationship Center ( CRC ) and Chennai plant related operations. The position requires strong leadership and technical skills, off-hour, weekend, and holiday coverage as required by the business needs. The Plant IT manager supervise teams of GSR, agency, and purchased service resources. The position is matrixed to ISIT IMG General Manager, with a dotted line report to the resident Plant Manager. The Plant IT Manager is expected to interact directly with business partners at all levels, including both hourly and salaried employees, vendors, and others, including plant management and Manufacturing directors as required. Responsibilities “Run and Protect” all IT services at the site, including data centers, network equipment, servers, PCs, mobile devices, and applications. These devices include UPS, Power Distribution Units, fire alarm systems, Cisco switches/routers, load balancers, access points, Windows/Linux servers, ESX servers, Windows/Mac OS devices, DXDs, Process Control Boards, Cisco IP/iPhone/android phones along with off the shelf, Ford, and some local applications. Support major business and IT initiatives such as New Model Program launches, hardware/infrastructure/application upgrades, facility changes, IIOT and end user productivity launches. Develop plans to meet critical timing, rollout/rollback/contingency plans and minimize any impact.Manage development of self and team, including technical, leadership skill development and goal setting, and building team succession plansEnsure compliance with industry regulations and company policies related to IT security and data management. Ensure the security of IT systems and data, implementing necessary backup and recovery processes.Develop and manage the IT budget, ensuring cost-effective solutions are implemented.Monitor overall system performance and troubleshoot issues proactively.Evaluate and recommend innovative technologies to improve efficiency and productivity. Collaborate with other departments to determine technology needs and provide solutions.Maintain healthy relationship between IT teams and other cross functional teams of the plant & plant management.Act as a liaison between site operations and corporate IT teams. Qualifications Education: Bachelor's degree or equivalent qualification in a technical discipline Master's degree work in a related technical field is desirable. Work Experience: 10+ years Technical Skills: Cloud (GCP) / Server / Network Certifications preferredITIL / ITSM – Incident, Problem, Change, Capacity, and availability ManagementExposure to Data center infrastructure and operations Project Management toolsNetwork topology, Network device management understanding, IT Cabling Knowledge & Plant networks: OA, MPN and CPN. Functional Skills: Creative / out of the box thinking and quickly developing approaches to problems and recommending actions to management.Solid understanding of business processes and IT systems/processes. Functional business knowledge of Manufacturing, MP&LAbility to balance numerous projects and requests Ability to drive to root cause and work to develop monitoring/preventative measures.Work efficiently and effectively with diverse, cross functional teams under stressful circumstances Preferred experience: Experience of IT infrastructure and applications infrastructure supported in a complex manufacturing environment with preference to the automotive industry.Program/Project management utilizing project delivery tools and techniques.Experience of working within a large cross-functional organization.Previous plant IT manager or manufacturing operations experience will be PLUS.Previous working experience with non-IT functions: manufacturing, HR, facilities, finance, purchasing etc. Behavioral/Leadership Skills: Strong interpersonal and conflict management skillsAbility to motivate and influence team members in a cross-functional multi-region setting.Maturity in dealing with all levels of business and IT management including directors and senior management.

The Technology Project Management role within Enterprise Platform Engineering & Operations (EPEO) is to lead and deliver the IT Infrastructures (Intranet, Extranet, Servers, Storage, Voice, Collaboration technologies etc) across the globe. The TPM has to collaborate closely with various team members including Site IT, Service Teams, Product Teams, Infrastructure Architects, Purchasing, Finance, Manufacturing IT etc. and deliver the IT Infrastructure for Manufacturing and Non-manufacturing locations. Strong interpersonal skills and ability to work with all levels of business and IT stakeholders. Experience and proven ability to deploy infrastructure, Perform at an extremely high level project management competence Ability to collaborate with stakeholders and leadership directly and deliver results Ability to drive and meet the delivery timelines, foreseen risks and issues and track to close meticulously Ability to communicate effectively with globally distributed business and IT stakeholders. Organized and attention to detail with strong written and oral communication Ability to use and explore collaboration tools Ability to understand the business requirements and ensure process discipline Ability to recognize and implement improvement opportunities Ability to leverage the skills and support the team members Technology Project Manager is responsible for delivering IT Infrastructure across the Ford globe. Guides program teams to ensure program and/or project goal alignment with the Company's objectives through Demand and Value Management Services. Guides, coaches, influences, and manages business value realization for programs and/or projects. Establishes structure and governance to maintain alignment and produce accurate and timely reporting at the program level. Ensures effective integration management throughout the lifecycle of the project. Provides the mechanism for an effective stakeholder relationship. Develops, manages, and controls funding plans, program charter, program release, and project plans, and drives the team to make them accountable for an effective value deliv Develops budget and financial plans for programs. Supports the writing of program funding proposals to guarantee uninterrupted delivery of services based on values and priorities. Manages program and delivery level risks and issues, and supports in mitigation and/or resolution. Ensures the appropriate use of project management and demand management tools, techniques, processes, and methods. Supports project teams with a lightweight process framework based on complexity.

Job Description Leadership & Team Building Lead, mentor, and grow a diverse team of Product Managers and Product Analysts across different experience levels Establish clear career paths, growth frameworks, and performance standards for the product organization Create a culture of innovation, customer obsession, and data-driven decision making Develop hiring strategies specifically tailored to attract top product talent in the competitive Indian job market Build strong relationships with Design, Engineering and Operations teams while fostering a collaborative culture across the Product team in the country Culture & Organizational Development Define and nurture a unique organizational culture that reflects both our global values and Indian workplace dynamics Create frameworks for collaboration, decision-making, and knowledge sharing Establish rituals and practices that build team cohesion and celebrate successes Build relationships with the local tech and product community to position our company as an employer of choice Business & Product Impact Evangelize the concept of business value and into tangible business outcomes Work closely with finance to develop and manage budgets Present product performance and strategy to executive leadership Internal Product Education Develop a comprehensive Product Management (PM) curriculum tailored to the Indian context, covering fundamentals through advanced topics Establish a Product Academy with structured learning paths for PMs, aspiring PMs, and cross-functional partners Create a product mentorship program pairing experienced PMs with junior team members and interested employees from other departments Responsibilities Leadership & Team Building Lead, mentor, and grow a diverse team of Product Managers and Product Analysts across different experience levels Establish clear career paths, growth frameworks, and performance standards for the product organization Create a culture of innovation, customer obsession, and data-driven decision making Develop hiring strategies specifically tailored to attract top product talent in the competitive Indian job market Build strong relationships with Design, Engineering and Operations teams while fostering a collaborative culture across the Product team in the country Culture & Organizational Development Define and nurture a unique organizational culture that reflects both our global values and Indian workplace dynamics Create frameworks for collaboration, decision-making, and knowledge sharing Establish rituals and practices that build team cohesion and celebrate successes Build relationships with the local tech and product community to position our company as an employer of choice Business & Product Impact Evangelize the concept of business value and into tangible business outcomes Work closely with finance to develop and manage budgets Present product performance and strategy to executive leadership Internal Product Education Develop a comprehensive Product Management (PM) curriculum tailored to the Indian context, covering fundamentals through advanced topics Establish a Product Academy with structured learning paths for PMs, aspiring PMs, and cross-functional partners Create a product mentorship program pairing experienced PMs with junior team members and interested employees from other departments Qualifications Experience & Skills 15+ years of product management experience with at least 5 years in leadership roles Proven track record of building and scaling product teams, preferably in the Indian market Strong understanding of product development methodologies and best practices Experience working with global teams and adapting strategies for local markets Excellent communication skills with the ability to inspire teams and influence stakeholders Data-driven approach to decision making with strong analytical capabilities Experience establishing organizational processes and operational frameworks Experience working in the automotive industry for a US based company Personal Attributes Natural leadership presence with the ability to inspire and motivate diverse teams Entrepreneurial mindset with comfort in ambiguous, fast-paced environments Empathetic and people-focused, with a genuine passion for developing talent Strategic thinker who can also roll up sleeves and get into the details when needed Cultural sensitivity and awareness of the nuances of building organizations in India Resilience and adaptability to navigate the challenges of a growing operation Curious mindset with a passion for continuous learning and improvement Show more Show less

Job Description We are seeking a highly motivated and experienced Data Product Manager to lead the strategy, roadmap, and execution of our data ingestion platform. This platform is critical to our organization, ingesting a wide variety of data types—structured, unstructured, real-time, and batch—from diverse sources. The ideal candidate is a seasoned product leader with a proven track record of successfully delivering data products that meet and exceed user needs. This role requires a strong understanding of data engineering principles, product management best practices, and a passion for building high-quality, scalable, and reliable data solutions. Responsibilities Product Strategy & Roadmap: Define and champion the product vision, strategy, and roadmap for the data ingestion platform. This includes conducting market research, competitive analysis, and customer discovery to identify opportunities for innovation and improvement. Requirements Gathering & Prioritization: Elicit and prioritize requirements from stakeholders across the organization, balancing business needs with technical feasibility and resource constraints. This includes actively engaging with data engineers, data scientists, and business users. Product Design & Development: Collaborate with engineering teams to design, develop, and launch new features and improvements to the data ingestion platform. This includes creating detailed product specifications, user stories, and acceptance criteria. Go-to-Market Strategy: Develop and execute go-to-market strategies for new features and platform updates. Product Monitoring & Optimization: Monitor platform performance, user adoption, and identify areas for improvement. This includes analyzing usage data, conducting user surveys, and gathering feedback. Stakeholder Management: Effectively communicate product vision, strategy, and progress to stakeholders across the organization, including executive leadership, engineering, and business units. Customer Discovery: Regularly engage with users to understand their needs, pain points, and expectations. This includes conducting user interviews, surveys, and usability testing. Product Discovery: Employ various product discovery techniques to identify andvalidate product opportunities. Leadership Reviews: Prepare and present regular product updates andperformance reviews to leadership. Pulse Checks & Surveys: Conduct regular pulse checks and surveys to monitoruser satisfaction and identify emerging issues. Qualifications Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree is a plus. 5+ years of experience in product management, with a focus on data products. Deep understanding of data ingestion principles, technologies, and best practices. Experience with various data types (structured, unstructured, real-time, batch). Proven ability to define and execute product roadmaps. Excellent communication, presentation, and interpersonal skills. Strong analytical and problem-solving skills. Experience with Agile development methodologies. Experience with data visualization and analytics tools is a plus. Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus. Show more Show less

Job Description This role's core responsibilities encompass strategic planning, leveraging data management expertise, fostering stakeholder collaboration, applying product management skills and agile methodologies, and utilizing a collaborative approach to drive product development and system evolution. Responsibilities Strategic Planning and Evolution: Demonstrated experience in future state strategy planning, with a strong ability to envision and develop a roadmap for system evolution that aligns with organizational goals. Skilled in transforming product roadmaps into detailed, manageable features, balancing business priorities with technical capabilities. 2 . Data Management Expertise : Deep expertise in data conversion processes and data quality management, ensuring the accuracy, integrity, and completeness of data during migrations from Legacy system. Proven ability to identify, clean, and maintain high-quality data across systems. Stakeholder Collaboration and Alignment: Proficiency in aligning initiatives with stakeholders and business owners, ensuring migration efforts and product rollouts are in sync with broader business objectives, stakeholder expectations, and end-user needs. Excels in communicating the product's vision to team members and stakeholders, fostering strong collaborations. Product Management and Agile Methodology: A product mindset focused on delivering business value, with extensive experience in managing product features, prioritizing the product backlog, and specifying priorities using metrics. Advocates for and implements Agile methodologies, emphasizing continuous improvement and lean validation techniques. Issue and Risk Mitigation: Skilled in issue and risk mitigation, with a proactive approach to identifying challenges and developing effective solutions. Engages in technical architecture discussions to ensure seamless application functionality and integration thereby streamlining operations. Team Leadership and Communication: Leads by example in maintaining open, frequent communication with the team and external partners, ensuring responsiveness and smooth progress. Proactively addresses obstacles and risks, with a focus on early mitigation strategies to propel product development forward. Qualifications Bachelor’s degree in computer science or engineering. Minimum of 10 years of experience in software development with progressive responsibilities, adept in agile methodologies like Scrum, XP and Jira/Rally tools. At least 3 years of experience in product visioning, strategy, and roadmap creation, with a focus on system modernization projects, including proven experience in migrating from legacy systems to modern platforms. Comprehensive knowledge of modern full-stack software engineering tools and programming languages, including but not limited to GCP, Tekton/Cloudbuild, APIC, APIM/Apigee, SonarQube, 42Crunch, React and Java SRE Tools, Monitoring and Observability, Data Engineering experience is highly desirable Demonstrated ability to implement Lean/Lean Startup methodologies with a human-centered approach. Strong leadership and effective communication skills, with the ability to work collaboratively and navigate complex decision-making processes. Proven ability to work well with engineers, designers, and business partners. Self-motivated with a strong inclination towards researching and investigating new technologies and concepts. Show more Show less

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and Present the findings and communicate with large cross-functional teams

Be at the Forefront of Mobility's Future: Join Ford as a Site Reliability Engineer! Enterprise Technology is the engine driving the future of transportation, and we're looking for a talented Site Reliability Engineer (SRE) to help us redefine mobility. In this role, you'll leverage cutting-edge technology to enhance customer experiences, improve lives, and create vehicles as smart as you are. As an SRE at Ford, you'll be instrumental in developing, enhancing, and expanding our global monitoring and observability platform. You'll blend software and systems engineering to ensure the uptime, scalability, and maintainability of our critical cloud services. You'll be at the intersection of SRE and Software Development, building and driving the adoption of our global monitoring capabilities. If you're passionate about using your IT expertise and analytical skills to shape the future of transportation, this is your opportunity to make a real impact. Join us and be part of a team that's building the future of mobility! Bachelor’s degree in Computer Science, Engineering, Mathematics or equivalent experience. 3+ years of experience as an SRE, DevOps Engineer, Software Engineer or similar role. Strong experience with Golang development and desired familiarity with Terraform Provider development. Proficient with monitoring and observability tools, particularly OpenTelemetry or other tools. Proficient with cloud services, with a strong preference for Kubernetes and Google Cloud Platform (GCP) experience. Solid programming skills in Golang and scripting languages, with a good understanding of software development best practices. Experience with relational and document databases. Ability to debug, optimize code, and automate routine tasks. Strong problem-solving skills and the ability to work under pressure in a fast-paced environment. Excellent verbal and written communication skills. Write, configure, and deploy code that improves service reliability for existing or new systems; set standard for others with respect to code quality. Provide helpful and actionable feedback and review for code or production changes. Drive repair/optimization of complex systems with consideration towards a wide range of contributing factors. Lead debugging, troubleshooting, and analysis of service architecture and design. Participate in on-call rotation. Write documentation: design, system analysis, runbooks, playbooks. Provide design feedback and uplevel design skills of others. Implement and manage SRE monitoring application backends using Golang, Postgres, and OpenTelemetry. Develop tooling using Terraform and other IaC tools to ensure visibility and proactive issue detection across our platforms. Work within GCP infrastructure, optimizing performance, and cost, and scaling resources to meet demand. Collaborate with development teams to enhance system reliability and performance, applying a platform engineering mindset to system administration tasks. Develop and maintain automated solutions for operational aspects such as on-call monitoring, performance tuning, and disaster recovery. Troubleshoot and resolve issues in our dev, test, and production environments. Participate in postmortem analysis and create preventative measures for future incidents. Implement and maintain security best practices across our infrastructure, ensuring compliance with industry standards and internal policies. Participate in security audits and vulnerability assessments. Participate in capacity planning and forecasting efforts to ensure our systems can handle future growth and demand. Analyze trends and make recommendations for resource allocation. Identify and address performance bottlenecks through code profiling, system analysis, and configuration tuning. Implement and monitor performance metrics to proactively identify and resolve issues. Develop, maintain, and test disaster recovery plans and procedures to ensure business continuity in the event of a major outage or disaster. Participate in regular disaster recovery exercises. Contribute to internal knowledge bases and documentation.

Job Description A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform. With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently. Responsibilities Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP. Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions. Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration. Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics. GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs. Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features. Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering. Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency. Qualifications Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred. Experience: Minimum 5 years of experience as a Software Engineer Technical Skills: Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc. Ability to leverage best in-class data platform technologies to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities. Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies. Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js). Design and develop RESTful APIs for seamless integration across platform services. Implement robust unit and functional tests to maintain high standards of test coverage and quality. Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery. Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments. CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks. Manage code changes with GitHub and troubleshoot and resolve application defects efficiently. Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases. Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues. Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud Show more Show less

Position Responsibilities JOB DESCRIPTION Develop Business Intelligence Solutions Design and develop Business Intelligence Solutions: data source identification (SAP HANA and Non-SAP systems), data staging (Datasphere) and modelling (Datasphere , BW , ABAP CDS) development of enhancements for existing standard reports as well as new and ad-hoc reports, data visualizations (dashboards) inSAP Analytics Cloud, Qlik and alteryx Define test cases in collaboration with users, perform functional testing and support User Acceptance Testing Perform deployments in alignment with release processes Create and maintain high-quality documentation of all deliverables, including data dictionaries and report and analysis specifications Support continuous improvement of data quality, standardization and query performance Collaborate with stakeholders to refine business requirements and work with Product Owners, Product Managers to define User Stories Support BI Landscape Renewal Support exploration of new technologies and defining the future architecture Play a key role in the migration of existing data extractors and models, reports and dashboards into new tools (SAP Datasphere and SAP Analytics Cloud) and continuously improve them Support consolidation of reporting requirements during migration project Support user training, e.g. on self-service BI capabilities Work efficiently with others and independently: Work closely with internal and external development and testing teams, as well as markets, to ensure seamless integration and alignment Proactively communicate findings, progress, challenges, and potential risks to lead engineers, Product Manager and stakeholders Participate in code reviews, knowledge sharing sessions, and best practice discussions Responsibilities 4-7 years of progressive experience in SAP Data Warehousing and Business Intelligence, with a strong understanding of core concepts from platforms like SAP BW, BW/4HANA, or SAP HANA SQL Data Warehousing. Develop Business Intelligence Solutions Design and develop Business Intelligence Solutions: data source identification (SAP HANA and Non-SAP systems), data staging (Datasphere) and modelling (Datasphere) development of enhancements for existing standard reports as well as new and ad-hoc reports, data visualizations (dashboards) in SAP Analytics Cloud, Qlik and alteryx Define test cases in collaboration with users, perform functional testing and support User Acceptance Testing Perform deployments in alignment with release processes Create and maintain high-quality documentation of all deliverables, including data dictionaries and report and analysis specifications Support continuous improvement of data quality, standardization and query performance Collaborate with stakeholders to refine business requirements and work with Product Owners, Product Managers and Anchor Engineers to define User Stories Support BI Landscape Renewal Support exploration of new technologies and defining the future architecture Play a key role in the migration of existing data extractors and models, reports and dashboards into new tools (SAP Datasphere and SAP Analytics Cloud) and continuously improve them Support consolidation of reporting requirements during migration project Support user training, e.g. on self-service BI capabilities Work efficiently with others and independently: Work closely with internal and external development and testing teams, as well as markets, to ensure seamless integration and alignment Proactively communicate findings, progress, challenges, and potential risks to lead engineers, Product Manager and stakeholders Participate in code reviews, knowledge sharing sessions, and best practice discussions Qualifications Skills for this role Required qualifications: Experience programming to extract, transform and clean large (multi-TB) data sets and respective technologies, preferably SAP Datasphere or similar Experience with data modeling and respective technologies (see above) Experience with design of data analysis and visualization and respective tools, preferably Google Big Query, SAP Analytics Cloud, alteryx, Qlik or similar Experience in scripting for automation and advanced SQL skills Experience working directly with business stakeholders to analyze requirements and translate them into technical solutions Ability to identify, analyze, and resolve complex technical issues and optimize queries Excellent communication skills, both written and verbal, for effectively interacting with stakeholders Ability to collaborate effectively with diverse teams and contribute to a positive work environment Experience with and understanding of Material Management Planning -business processes Experience with developing or understanding backend ABAP CDS views Experience working with SAP HANA as main data source Experience with agile development and testing practices The candidate should be comfortable working in a global environment and collaborating with teams across different time zones Show more Show less

Job Description Platform SE Responsibilities Platform SE Qualifications Platform SE Show more Show less

Job Description The engineer will also be responsible for analyzing the results of the tests and providing recommendations for performance improvements. Additionally, this role may also involve working with development teams to optimize the performance of their code and working with system administrators to ensure that the underlying infrastructure is properly configured for optimal performance. This role will usually require strong Java programming skills and experience with microservices, cloud infrastructure and technologies, and performance testing methodologies. Responsibilities The specific responsibilities of a performance engineer managing a large, distributed application built on microservices, spring boot, and Google Cloud may include: Gather performance requirements using templates, logs, and monitoring tools. Work with Product teams to understand workload models for each system and gather performance Requirements. Create performance test plans and scenarios and develop test scripts in JMeter/K6/Gatling to meet the objectives of the performance test plan. Setup performance test and performance regression testing guidelines and standards Conduct system performance testing to ensure system reliability, capacity, and scalability. Perform performance testing like Load Testing, Endurance Testing, Volume Testing, Scalability Testing, Spike Testing, and Stress Testing using Jmeter/Load runner. Perform root cause analysis using performance monitoring/Profiling tools and identifying potential system and resources bottlenecks. Analyze thread dumps, heap dumps, kernel logs, network stats, APM metrics, application logs to troubleshoot CPU/Memory/Resource hot spots, API latency and application/platform health. Experience in Front end application performance tools like Lighthouse, Web page test, Pagespeed Insights, etc Collaborating with multiple product teams and help in performance tuning of applications. Shift left and first-time quality - Automate Performance testing and integrate it to the existing CI/CD pipelines for a better quality and engineering experience. Performance Testing Tools: Performance testing tools such as JMeter, LoadRunner, and Gatling. Knowledge of Web Technologies: It is essential to have knowledge of web technologies, including HTML, CSS, JavaScript, and HTTP. Strong analytical skills are necessary to interpret data and identify patterns, trends, and issues related to webpage load and performance. Communication Skills: Effective communication skills to collaborate with developers, testers, and other stakeholders to identify and resolve performance issues. Qualifications Four-year college degree in Computer Science or Equivalent. Minimum of 8+ years working on performance testing and engineering of large-scale eCommerce/web applications Demonstrated capability to drive out test strategies in a global organization and to oversee the testing team activities and initiatives for best practices. Deep understanding of container technologies and experience in designing, investigating, analyzing and troubleshooting large-scale enterprise systems Experience with Profiling and tracing tools like Yourkit, JProbe, AppDynamics, New Relic, Splunk for memory and CPU optimization. Experience in troubleshooting performance issues in distributed systems. Front-end Webpage Testing skills is a must. Experience with RESTful APIs and microservices platform is a must. Show more Show less

Job Description Technical Skills: Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc. Ability to leverage best in-class data platform technologies (Apache Beam, Kafka, …) to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities. Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies. Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js). Design and develop RESTful APIs for seamless integration across platform services. Implement robust unit and functional tests to maintain high standards of test coverage and quality. Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery. Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments. CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks. Manage code changes with GitHub and troubleshoot and resolve application defects efficiently. Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases. Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues. Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud Responsibilities Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP. Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions. Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration. Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics. GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs. Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features. Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. Collaboration and Best Practices: Work closely with data architects, software engineers, and crossfunctional teams to define best practices, design patterns, and frameworks for cloud data engineering. Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency. Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred. Show more Show less

Job Description The role of the European Receivables Accounting Team is to ensure harmonised and consistent accounting output for FCE’s Retail, Lease and Wholesale Receivables portfolio from FCE receivables applications which is compliant with IFRS, US GAAP and all relevant corporate policy and procedure. Responsibilities This position will report to the Receivables Accounting Manager. Main Duties: Become SME on FCE’s Receivable Accounting, ensuring adequate governance and alignment with FMs and IFRS Accounting Standards in the preparation of US GAAP returns and IFRS disclosures. Keep up to date with relevant training to maintain SME status Maintaining accuracy of all Receivables related models used in preparing US GAAP/IFS return e.g. FMV Be responsible for overall Receivables Accounting Completion of certain US GAAP/IFRS returns including variance analysis Maintain oversight and review completion and submission of all US GAAP quarterly returns prepared by the Receivable Accounting Analyst. Prepare quarterly Finance Receivables presentation including variance Analysis and present at the quarterly Due Diligence meeting with European locations and Executive Director, Finance. Support the completion and review of receivables related FINREP templates on a quarterly basis. Support completion of FCE’s bi-annual Management Statement and FMCC’s 10Q/K report Lead delivery of Receivables related notes and disclosures in FCE’s IFRS Annual Report Support coordination of quarterly Accounting topics meeting with European locations and Executive Director, Finance and present Receivables related items as necessary . Work with FCE’s external and internal auditors, supplying them with the necessary schedules, analysis, and explanations as required. Provide Receivables related accounting advice and training to the European locations and Regional Accounting Office as and when necessary. Assist with the reviews and updates of all Receivables Accounting desk procedures, FCE procedures, and policy statements. Review all European County Plan updates on behalf of European Accounting to support management approval Ad hoc duties as required. Qualifications Essential: Candidate should either hold or be studying towards a professional accountancy qualification (ACCA/CIMA). Ability to interpret, analyse and apply accounting standards to FCE business Experience of the Peoplesoft general ledger including an understanding of the corporate chart of accounts Experience of completing tasks accurately, to deadline and to multiple stakeholders Excellent interpersonal and communication skills To understand what the fair treatment of customers' means and to ensure this is consistently incorporated into the role as appropriate. Desirable: An understanding of Receivables Accounting and associated accounting principles (IFRS and US GAAP). Experience of FCE’s financial reporting systems including HFM and GFAS Experience of consolidation and of working with multiple reporting currencies Additional Information: This role may require a degree of flexibility to meet key deadlines as part of the quarter end close Show more Show less

Job Description We're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like BigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at Ford. Responsibilities Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. GCP Data Solutions Leader : Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Data Governance & Security Champion : Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data. Data Workflow Orchestrator : Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC). Performance Optimization Driver : Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness. Collaborative Innovator : Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Automation & Reliability Advocate : Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Effective Communicator : Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment. Continuous Learner : Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities. Business Impact Translator : Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals. Documentation & Knowledge Sharer : Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Qualifications Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience). 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred). Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc. Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform. Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and columnar databases (e.g., BigQuery). Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments. Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks. Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues. Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc). A passion for data, innovation, and continuous learning. Show more Show less

Job Description JOB DESCRIPTION We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. What will you make today? At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. As the financial engine and FinTech arm of Ford, Ford Credit is at the heart of the Ford customer experience. By transforming how we enable customers to own and finance vehicles, we are ultimately transforming the way people access and interact with transportation on a global scale. Ford Credit is experiencing significant business transformation in an ever-changing digital world. To create this all-new automotive financing experience, we are gathering a team of world-class strategists, innovators, creators, and technicians and searching for a Product Manager , CRM Platform. This person will help to unlock the power of our Salesforce CRM platform to enable features and capabilities that will be used across our digital products and lines of businesses to engage with our customers in even more meaningful ways. The CRM Platform PM will play a key role in understanding our customer journeys and our business needs to lead the successful delivery of the Salesforce CRM platform capabilities. Ford Credit is not just evolving but upending what it means to finance vehicles and other services as an industry. The Ford Credit team helps put people behind the wheels of great Ford and Lincoln vehicles. We are reinventing the way people think about financing for millions of users. We are making our products and services incredibly easy to understand and helping to provide freedom of movement to everyone. The Product Manager will work closely with the North America Group Product Manager, stakeholders, as well as India, Europe and North America based development teams to ensure alignment on product vision, priorities, and requirements. This is an excellent opportunity for a motivated individual with strong communication, collaboration, and decision-making skills to contribute to the growth and success of our organization. Responsibilities What you’ll be doing As the Product Manager, you'll be responsible for developing and growing an innovative, scalable platform that serves as the foundation for internal digital product teams worldwide. You will be expected to: Collaborate with cross-functional teams (business, product, engineering, UX, data engineering, and AI/ML) to define, prioritize, and implement platform features and capabilities. Conduct in-depth analysis of our business needs and identify the right Salesforce platform capabilities to prioritize and implement. Create detailed Requirement Documents, features, user stories, metrics, and acceptance criteria, prioritizing them into release planning, and work closely with engineering teams to ensure technical feasibility and efficient implementation of platform features. Manage the product backlog aligned with the strategic product roadmap that balances short-term wins with long-term platform goals, continuously monitoring performance and iterating based on user feedback. Deeply understand the problems, with a data driven approach to size the impact, customer, and business value to be provided. Able to deep dive and drive initiatives hands-on. Collaborate effectively with engineering teams to ensure technical feasibility and sound implementation of product features. Identify issues, mitigates, and plans for them early, or escalates issues early enough to timely resolve them. Act as a proxy for the North American Group Product Manager, representing their vision, priorities, and decisions to the development team. Gather, prioritize, and manage user stories and requirements in collaboration with the Product Manager and stakeholders. Write clear and concise acceptance criteria for user stories, outlining the conditions that must be met for the work to be considered complete. Work closely with the development team to ensure a shared understanding of acceptance criteria and to facilitate successful delivery of user stories. Facilitate communication and collaboration between the development team and stakeholders, including customers, end-users, and business representatives. Perform impact assessments on IT services and systems to determine the feasibility and implications of proposed changes or enhancements. Work closely with the NA Group Product Manager to refine and groom the backlog, ensuring it is ready for prioritization, Program Increment (PI), Sprint planning and execution. Participate in sprint planning meetings to discuss and commit to sprint goals and user stories. Collaborate with the development team during sprint review meetings to provide feedback on completed work and ensure it meets acceptance criteria. Make informed decisions on behalf of the NA Group Product Manager when necessary, escalating any significant issues or decisions that require the NA Group Product Managers input. Actively seek feedback and identify areas for improvement in product development processes and practices. Collaborate with technical teams to assess the impact of proposed changes on existing IT infrastructure, systems, and services. Qualifications What we’re looking for (For internal posting): Understanding of Ford Credit’s consumer, commercial, and wholesale businesses. Master of Business Administration degree preferred. Bachelor's degree in Computer Science, Engineering, Business, or related field. Strong understanding of Agile principles and methodologies. Excellent communication, collaboration, and interpersonal skills. Ability to prioritize and manage multiple tasks in a fast-paced environment. Strong analytical and problem-solving skills. Experience working with cross-functional teams and stakeholders. Knowledge of project management tools such as Jira, Trello, or Asana. Previous experience working with Salesforce CRM platform preferred, but not mandatory. Technical fluency with knowledge of APIs, AI/ML, cloud services (preferably GCP), Customer Data Platforms (CDP), analytics, and experimentation methodologies, event driven architecture preferred. Experience working on global teams and in a matrixed team structure across product and multiple engineering areas. Comfortable working in a fast-paced, fluid environment where priorities shift regularly. Ability to break down complex tasks or requirements into simpler, more manageable tasks identifying clear pros, cons, issues, obstacles, and dependencies. Fosters an environment of constant delivery and ownership in their areas. Able to help get things shipped and team members prioritize work in their key focus areas. Ability to deliver high-impact outcomes, make trade-offs and understand the importance of different work-streams, and thus effectively prioritize to deliver maximum business impact. Experience with feature delivery and tradeoffs of a product Experience with owning/driving roadmap strategy and definition Experience with end-to-end product delivery Prior experience in customer related services or receivables Ability to support multiple product squads You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! Show more Show less

Job Description Ford Motor Company is seeking a highly skilled and motivated Senior Power BI Engineer to contribute to the modernization and transformation of our PLM landscape. In this hands-on role, you will be a key member of a team responsible for migrating legacy, datacenter-based BI solutions to Power BI. You will work on the design, development, deployment, and maintenance BI applications, ensuring seamless integration and optimal performance. As a Senior Power BI Engineer, you will leverage your deep knowledge and your experience with BI application migration to build and maintain scalable, secure, and reliable BI solutions. You will collaborate closely with architects, engineers, and operations teams to deliver high-quality cloud-based solutions. Responsibilities Design, develop, and maintain interactive Power BI dashboards and reports. Build and manage data models, DAX calculations, and ETL processes for reporting and analytics. Collaborate with business stakeholders to understand requirements and translate data needs into scalable BI solutions. Optimize performance of Power BI reports and dashboards to ensure efficiency and usability. Advise and implement best practices in data visualization, report design, and user experience with Power BI Work with SQL databases, data warehouses, and cloud-based BI tools to extract and transform data. Ensure data integrity, governance, and security in all reporting solutions. Provide guidance and mentorship to junior BI developers. Stay up to date with the latest Power BI advancements to enhance reporting capabilities. Work closely with cross functional applications to provide hands on help with the migrations from legacy BI tools to Power BI Qualifications 10+ years total experience with 5+ years of hands-on experience in Power BI development, including DAX, Power Query, and data modeling. Knowledge with data modeling, schema design, and Big Query optimization Proficiency with Google Cloud Platform Data Engineering services Knowledge of data visualization best practices and UI/UX principles for BI solutions. Proficiency in scripting languages like SQL, Python for data transformation. Experience with performance tuning and optimization of BI dashboards and reports. A strong Individual contributor with analytical and problem-solving skills Excellent communication skills to collaborate with stakeholders and present data insights effectively. Preferred Qualifications: Experience or Knowledge with Web Focus 8 or Business Objects BI tools Familiarity with REST APIs and integrating external data sources into Power BI. Power BI certification or advanced training. Knowledge of CI/CD and automation in BI development. Show more Show less