AI & Analytics Implementation Specialist

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.In this position... In this role, you will bridge the gap between analytical model development and production deployment, using SAS, vendor tools, on-prem systems, and cloud-based applications. You will be a key contributor in building scalable, automated analytics workflows and applying Agentic AI frameworks to streamline reporting, data summarization, and validation processes. This is a dynamic opportunity for someone who enjoys innovation, problem-solving, and leveraging advanced technologies to accelerate real-world business processes.You'll have...• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field required.• 3+ years programming experience in SAS (preferably "SAS RealTime Decision Manager"), Java, SQL, and Python, with experience in object-oriented and procedural paradigms.• Experience with Relational Database Management Systems (like DB2).• Experience implementing modern automation frameworks and AI-powered tooling such as Agentic AI.• GenAI tooling - Agentic AI, workflows & cloud integration.• 1–2 years hands-on experience with Google Cloud Platform (GCP) including BigQuery, PostgreSQL, Cloud Storage, Cloud Functions, etc. Familiarity with Waterfall, Agile, and PDO methodologiesEven better, you may have...• Experience working with IT testing environments, regression testing, and automated validation.• Strong analytical, critical thinking, and problem-solving abilities.• Ability to learn new tools and technologies quickly.• Excellent interpersonal and communication skills.• Ability to work independently with minimal supervision.• Proactive, curious, and willing to ask questions to uncover opportunities.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!As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:• Immediate medical, dental, vision and prescription drug coverage• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more• Vehicle discount program for employees and family members and management leases• Tuition assistance• Established and active employee resource groups• Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 5 through 8 and ranges from $68,300 to $192,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.For more information on salary and benefits, click here: sponsorship is not available for this position.Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call View phone number on click.appcast.io.This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid#LI-FordCredit #LI-JB5What you'll do...Implement, validate, test, and productionalize predictive models and risk strategies across global platforms.Design and Develop Analytics solutions and integrate Models using Vendor tools, GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run, and Pub/Sub to build scalable workflows that support analytics delivery.Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.Identify opportunities to introduce automation, GenAI tooling, and workflow simplification; develop proof-of-concepts and enhance delivery processes through automation.Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.Develop reusable and repeatable automation frameworks for data comparison, summarization, and reporting across multiple business functions and systems.Design and implement automated pipelines that support testing workflows, with occasional integration involving legacy or mainframe-adjacent data sources.Full timePosting Date: 2026-09-08