What are the responsibilities and job description for the VP, Product Engineering position at Regional Management Corp.?
Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
Job Purpose
This senior leadership role sits at the intersection of software product delivery, enterprise data platform development, and AI transformation. You'll lead engineering for consumer-facing and internal software products while building and scaling RMC's Snowflake-based data platform — and you'll serve as a champion for AI adoption, driving the integration of agentic workflows and AI-powered capabilities into everything we build.
You'll lead a blended team of onshore and offshore engineers, partnering with Product, Data Science, Operations, Compliance, and Finance to drive measurable business outcomes.
Duties and Responsibilities
- Lead architecture, development, and delivery of software products across web, API, and mobile channels
- Drive Agile execution across onshore and offshore teams with high delivery velocity and code quality
- Establish CI/CD pipelines, automated testing, code review standards, and secure SDLC practices
- Collaborate with Product Management and UX to translate roadmap priorities into engineering delivery
- Own end-to-end software quality from test strategy through production observability
- Champion the design and integration of agentic AI workflows into software products — embedding LLM-powered decisioning, automation, and intelligent assistance directly into the user and operational experience
Data Engineering & Platform:
- Own architecture, development, and operations of RMC's enterprise data platform on Snowflake
- Build and lead a data engineering team delivering reliable, scalable pipelines for analytics, ML, and reporting
- Implement modern data stack practices — dbt, ELT patterns, data contracts, data mesh
- Partner with the CDAO to align platform capabilities with enterprise AI/ML and BI needs
- Ensure compliance with SOX, GLBA, and CCPA data governance requirements
AI Evangelism & Enablement:
- Serve as a senior advocate for AI adoption across the engineering organization — setting the vision, modeling the behavior, and raising the bar on how teams think about AI-augmented development and delivery
- Define and promote engineering patterns for agentic AI workflows: autonomous task execution, multi-step reasoning, tool use, and human-in-the-loop oversight within production systems
- Partner with the CDAO and business leaders to identify high-value opportunities to embed AI capabilities into lending products, internal tooling, and operational processes
- Establish responsible AI development standards — ensuring agentic systems are explainable, auditable, and compliant with financial services regulatory expectations
Leadership:
- Build, mentor, and retain high-performing onshore and offshore engineering teams
- Manage vendor and offshore partner relationships with clear delivery and quality standards
- Communicate technical vision and delivery status to executive leadership
- Contribute to technology strategy, annual planning, and engineering budget
Minimum Qualifications
- Proven delivery of complex, enterprise-grade software products (cloud-native, microservices, APIs)
- Hands-on Snowflake data platform experience: schema design, pipelines, data product development
- Strong data engineering tooling: dbt, Kafka event streaming, ELT/ETL, data warehouse architecture, SQL optimization
- Agile delivery leadership across multi-team environments
- Demonstrated experience integrating AI/LLM capabilities into production software products, including familiarity with agentic patterns (tool use, orchestration, autonomous agents)
- Regulated industry experience (financial services preferred) with data governance and security knowledge
- Exceptional executive communication skills — including the ability to make the case for AI investment and translate AI concepts for non-technical stakeholders
Preferred Qualifications
- Consumer lending, fintech, or installment finance experience
- Hands-on experience with AI agent frameworks (LangChain, LangGraph, AutoGen, or equivalent) and LLM API integration
- Microsoft Azure or AWS AI/ML services experience alongside Snowflake
- Familiarity with FFIEC, OCC, or CFPB technology and data risk guidance
- Bachelor's or Master's in CS, Engineering, Information Systems, or equivalent experience
Working Conditions
This position works in a hybrid environment.
If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf
Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law (“Protected Characteristics”). Regional’s policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.