AI & Analytics Implementation Specialist

Ford Motor Company • Dearborn, MI

2d • $68,300 - $192,900 • Hybrid

About The 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level