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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Analytics Implementation Specialist - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Experience:** Starter - **Salary:** $68,300.0 - $192,900.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, BigQuery, Software as a Service, Cloud Storage, Information Systems, Computer Programming, IBM DB2, Relational Databases, Data Intelligence, Python (Programming Language), PostgreSQL, Object-Oriented Software Development, Regression Testing, SAS (Software), Software Deployment, SQL Databases, Data Processing, Google Cloud, Delivery Pipeline, Information Technology, Google Cloud Functions, Data Analytics, Virtual Agents, Cloud Integration - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9400bda7e66e72ae ## About the Role * 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 methodologies Even 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. ## Description 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. What 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss](https://www.wearedevelopers.com/videos/1371-ai-in-action-real-use-cases-with-real-impact-hanna-hennig-michael-ameling-tobias-regenfuss) - [Making Data Warehouses fast. 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