Lead the systems that power data science, analytics, and AI at scale. If you can architect secure cloud infrastructure, build reliable pipelines, and coach technical teams to ship smarter and faster, this role puts you in the driver’s seat.
About Foundation Finance Company (FFC)
Foundation Finance Company is a fast-growing consumer finance company partnering with home improvement contractors across the U.S. to offer flexible, customer-focused financing options. FFC has been Great Place to Work® certified since 2017 and supports teams with strong benefits and a growth-focused culture.
Schedule
- Full time, Remote (states eligible listed below)
- Pay range: $130,000–$140,000/year
- Remote employees must reside in: AL, AR, AZ, CO, FL, GA, IL, IN, KY, LA, MD, MI, MN, MO, MS, NC, NJ, NV, NY, OH, OK, OR, SC, TN, TX, UT, VA, WA, WI
What You’ll Do
- Build infrastructure (including microservices) that supports deployment and operationalization of ML/AI models
- Lead and mentor Data Analytics Engineers and Machine Learning/AI Engineers to hit department objectives
- Design and maintain data pipelines, data lakes, and ML/AI deployment frameworks
- Lead development of scalable, secure cloud-based infrastructure
- Partner with cross-functional teams to understand needs and deliver infrastructure solutions
- Automate ingestion, transformation, and ML/AI workflow processes to improve efficiency
- Ensure compliance with data governance policies and regulatory standards
- Monitor and optimize performance, scalability, and cost-efficiency across infrastructure
- Track industry trends and recommend/implement emerging technologies that drive innovation
What You Need
- Bachelor’s degree in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering, ML infrastructure, or similar roles
- 2+ years leading or managing technical teams (preferred)
- Strong understanding of scalable cloud infrastructure and secure data systems
- Master’s degree (preferred)
- Cloud certifications (AWS Solutions Architect, GCP Data Engineer, etc.) (preferred, not required)
Benefits
- Day-one health benefits (medical, dental, vision) plus HSA/FSA options
- 401(k) with company match available day-one
- Paid sick and volunteer time off
- Paid parental leave options
- Employer-paid life and disability coverage
- Wellbeing on Demand program
- Flexible work environment with casual dress code
If you’re ready to lead the backbone of data and AI, don’t wait on this one.
Build the platform, mentor the team, and turn data into real advantage.
Happy Hunting,
~Two Chicks…