VPD Enterprise Decision Engineering

As OneMain expands its market verticals a multi-product strategy is evolving to penetrate markets through compelling customer engagement. Correspondingly teams deliver products across a variety of platforms and technologies. Our products and platforms span AWS Azure IBM iSeries and zSeries and OpenShift on-prem as part of a hybrid strategy. With both disparate technology delivery and varying regulatory requirements OneMains environment is both complex and evolving supporting a broadening multi-product multi-market strategy.

Were seeking a senior hands-on engineering leader to build and scale an Enterprise Decision Engineering organization and lead the transformation of OneMains credit & pricing decisioning from mainframe to a cloud-native Decision Platform (Drools/Kogito & Decision Intelligence). Build a Decision Solutions CoE and deliver Decisioning-as-a-Service so product teams can safely author test and deploy decision logic - faster with auditability and measurable business impact. This leader will own delivery quality and operational excellence for decisioning that powers credit pricing and risk strategies across consumer lending.

The person in this role should have proven success leading cross-functional credit/lending programs into production at scale with an in-depth understanding of business-rules engines (ODM FICO Blaze Drools/Kogito) Java/cloud engineering. The VP/D Enterprise Decision Engineering will be an integral member of Data Engineering and Operations leadership team lead a team of 20 engineers and will be reporting to Head of Credit & Pricing Technology. This role will provide strategic leadership and tactical execution of the Enterprise Decisioning platform management function.

RESPONSIBILITIES:

What you will own

• Strategy & Transformation: Lead the migration of Credit & Pricing decisioning from iSeries/zSeries mainframes to a modern Decision Platform (Drools/Kogito Decision Intelligence) including a Next-Gen Offer service platform for pricing. Define roadmap sequencing risk mitigation and business value capture.
• Drive program execution: sprint planning alignment roadmap tradeoffs cross-team orchestration and stakeholder communications to senior leadership.
• Delivery & Quality: Own end-to-end execution from requirements to release for decisioning services - ensuring high velocity near-zero high-severity defects and strong reliability SLAs.
• Release governance: Approve production rule releases and pricing changes; enforce go/no-go criteria and rollback plans.
• Lead architectural reviews and standardization: Drive standardization for data contracts service APIs and cloud deployment patterns (Kubernetes/OpenShift).
• Sponsor automation & Gen AI initiatives: Synthetic data pipelines regression suites and CI/CD for rule deployments & GenAI enablement for rule authoring and test scenario validations.
• Ensure strong observability: Using OpenTelemetry Prometheus Grafana alerting SRE practices and on-call readiness for decision services.
• Define and track engineering KPIs (velocity deployment frequency MTTR defect trends & performance).
• Drive compliance activities: model governance validation evidence audit-ready documentation and legal sign-offs for pricing & credit changes.
• Business Partnership: Partner with Product Credit Pricing Fraud Compliance and Legal to align on risk tolerances policy regulatory filings and financial assumptions; represent engineering in executive forums.
• People & Capability: Recruit coach and scale engineering teams to transitioning to modern stacks. Create upskilling programs (rule engine cloud observability GenAI for rules).
• Security & Compliance: Ensure decisioning satisfies data privacy auditability explainability and regulatory requirements (consumer disclosure state filings).

Key deliverables & Success Criteria

• Drive program execution: sprint planning alignment roadmap tradeoffs cross-team orchestration and stakeholder communications to senior leadership.
• Own release governance for decisioning: Approve production releases and pricing changes; enforce go/no-go criteria and rollback plans.
• A production-grade Decision Platform running core credit and pricing decision logic with a migration plan and measurable progress against mainframe retirement targets.
• Next-Gen Offer Service for pricing written on Drools integrated via REST APIs with parity tests and performance SLAs.
• Decision Solutions COE with documented rule lifecycle governance reusable components (authoring simulation testing) and Decisioning-as-a-Service onboarding playbooks.
• Measurable improvements in engineering KPIs: release frequency on-time delivery reduced high-priority incidents and decreased rule deployment time.
• Production observability regression suites automated rollback and incident playbooks implemented across decisioning services.
• Upskilled mainframe teams transitioned into new roles and capabilities in Drools/Java/cloud delivery.

QUALIFICATIONS:

• Leadership: 10 years building and scaling engineering organizations for credit/financial systems; experience managing managers and multi-disciplinary teams.
• Business Rules & Decisioning: Deep hands-on experience with rule engines and decision platforms (IBM ODM FICO Blaze Advisor Drools/Kogito BPMN/JBPM) rule lifecycle & governance.
• Credit & Lending Domain: Strong knowledge of lending products underwriting logic scorecards PD/LGD vintage analytics regulatory/disclosure requirements collections and pricing strategy.
• Modern Engineering: Java / J2EE Spring Boot REST APIs Maven; cloud deployments (AWS preferred Azure acceptable) Kubernetes/OpenShift Docker.
• Data & Formats: XML JSON integrations to core data stores/feeds real-time orchestration.
• Observability & Automation: OpenTelemetry Prometheus Grafana Jenkins or GitHub Actions CI/CD regression suites synthetic data generation and test automation.
• Tools & Agile: Jira Confluence Miro; experience leading Agile at scale and governance for multi-team delivery.
• BA/BS Degree in computer science or engineering is preferred MS degree is desirable or equivalent professional experience as a substitute for either degree
• DBA certifications are preferred.
• Azure or AWS Cloud Certifications are preferred.

OneMain Holdings Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age ancestry citizenship status color creed culture disability ethnicity gender gender identity or expression genetic information or history marital status military status national origin nationality pregnancy race religion sex sexual orientation socioeconomic status transgender or on any other basis protected by law.