Analytics Integration Specialist

In this position...

Ford Motor Credit Company's Global Data Insights & Analytics (GDIA) organization is seeking a highly motivated and technically skilled professional to join the Analytics Solutions Integration team within Credit Analytics. This position is ideal for professionals excited about implementing and productionalizing the predictive models for multiple business functions, modernizing legacy processes, and applying advanced technologies to transform analytics delivery.

In this role, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud-based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data and application of Agentic frameworks. This is a dynamic opportunity for someone who enjoys innovation, problem‑solving, and leveraging advanced technologies to streamline and accelerate real-world business processes.

About us ... 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.

What You'll Do...

* Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms.

* Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.

* Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets.

* Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions.

* Use GCP services such as Big Query, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery.

* Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results.

* Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and 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.

What You'll Do...

* Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms.

* Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.

* Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets.

* Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions.

* Use GCP services such as Big Query, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery.

* Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results.

* Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and 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.