Analytics Integration Specialist

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.

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 BigQuery, 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.

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

• 4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural).

• 1-2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2).

• Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration).

• Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation).

• Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn.

Even better, you'll have...

• A Master's degree.

• Experience integrating or automating processes involving legacy mainframe systems.

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 7 and ranges from $99,600-$166,600. This position is a salary grade 8 and ranges from $115,000-$192,900.

Final determination of salary grade will be based on the candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility, and competitive market value.