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VP/D Enterprise Decision Engineering

Baltimore, MD💼 Full-time🗓 2026-05-14 → 2026-07-30

Core

Lead the transformation of credit & pricing decisioning from mainframe to a cloud-native Decision Platform, building a Center of Excellence to deliver Decisioning-as-a-Service for product teams.

Role type

VP/D Enterprise Decision Engineering (Senior, hands-on engineering leader)

Builds

Cloud-native Decision Platform (Drools/Kogito), Next-Gen Offer service platform, Decision Solutions CoE

Domain

Consumer lending, credit & pricing, financial services

Deliverable

production ML models | product features | infrastructure

Required skills

Business rules engines (ODM, FICO Blaze, Drools/Kogito), Java/cloud engineering, credit/lending domain expertise, team leadership (20+ engineers), cloud deployment (AWS/Azure), Kubernetes/OpenShift, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), regulatory compliance

Preferred skills

MS degree, DBA certifications, AWS/Azure Cloud Certifications

Technologies

Drools, Kogito, Decision Intelligence, Java, Spring Boot, REST APIs, Maven, AWS, Azure, Kubernetes, OpenShift, Docker, OpenTelemetry, Prometheus, Grafana, Jenkins, GitHub Actions, Jira, Confluence, Miro

Responsibilities

Lead migration from iSeries/zSeries mainframes to modern Decision Platform; define roadmap and risk mitigation; own end-to-end delivery and quality of decisioning services; approve production rule releases and pricing changes; drive architectural standardization for APIs and cloud patterns; sponsor automation and Gen AI initiatives; ensure observability and SRE practices; partner with Product, Credit, Pricing, Fraud, Compliance, and Legal; recruit and upskill engineering teams

Seniority

VP/D, strategic leadership with tactical execution

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