We are looking for a specialist who can help transform Credit Loss Mitigation operations by extracting and modernizing business decision logic currently embedded across multiple legacy applications. This role is not simply about migrating technology; it is about making business rules transparent, governable, testable, and adaptable through modern Business Rules Management Systems (BRMS) and workflow orchestration platforms.
The ideal candidate will combine expertise in decision management, business process redesign, workflow automation, and financial services operations to help establish a scalable rule-driven architecture that enables the business to understand, manage, and simulate policy changes without relying on application code modifications.
Key Responsibilities
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Assess existing Credit Loss Mitigation applications and identify business rules embedded within application code, databases, integrations, and manual operational processes.
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Create a comprehensive inventory of decision logic, eligibility criteria, exception handling, and policy enforcement rules currently distributed across multiple systems.
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Design a target-state architecture leveraging Business Rules Management Systems (BRMS), Decision Model and Notation (DMN), and BPMN-based workflow orchestration.
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Lead the extraction and migration of hard-coded business rules into configurable and centrally governed decision services.
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Design business-friendly rule management capabilities that provide visibility into implemented policies and support controlled rule changes.
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Develop BPMN workflows for key Credit Loss Mitigation processes including hardship assistance, payment arrangements, loan modifications, collections, delinquency management, and exception handling.
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Enable business stakeholders to perform what-if analysis, policy simulations, and impact assessments without requiring application deployments.
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Establish governance frameworks for business rules, including versioning, approval workflows, auditability, testing, and deployment controls.
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Collaborate with business leaders, risk management teams, operations teams, compliance stakeholders, and engineering teams to validate decision models and process flows.
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Define integration patterns between rule engines, workflow platforms, core servicing systems, customer communication channels, and enterprise data platforms.
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Evaluate and recommend BRMS and workflow technologies, including Camunda and complementary decision management solutions.
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Provide implementation roadmaps, migration strategies, and organizational change recommendations to support adoption of rule-driven operations.
Must-Have Skills
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8+ years of experience in business process transformation, decision management, workflow automation, or enterprise architecture roles.
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Proven experience implementing Business Rules Management Systems (BRMS) or enterprise decision management platforms – such as Camunda, Workato, Drools or Pega Decisioning.
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Strong understanding of BPMN 2.0 workflow modelling and process orchestration.
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Experience extracting and rationalizing business rules from legacy applications.
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Knowledge of Decision Model and Notation (DMN) and rule governance practices.
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Experience designing configurable decision services and business-owned rule management capabilities.
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Strong stakeholder facilitation skills with the ability to bridge business and technology teams.
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Experience working within highly regulated environments such as banking, lending, insurance, or financial services.
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Ability to communicate complex decision models and workflow concepts to non-technical business stakeholders.
Nice to Have
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Experience with any of - Camunda, Drools, IBM ODM, Red Hat Decision Manager, FICO Blaze Advisor, or Pega Decisioning.
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Background in Credit Loss Mitigation, Collections, Loan Servicing, Mortgage Servicing, Consumer Lending, or Risk Management.
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Experience implementing DMN alongside BPMN workflow orchestration.
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Knowledge of policy simulation, decision testing, and shadow-rule execution techniques.
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Experience building rule governance frameworks for large-scale enterprise environments.
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Familiarity with microservices architectures, event-driven systems, and API-based integration patterns.
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Experience modernizing legacy decisioning platforms as part of digital transformation initiatives.
Expected Outcomes
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Business rules are fully documented, discoverable, and no longer hidden within application code.
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Credit Loss Mitigation policies can be modified through governed rule management processes rather than software releases.
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Business stakeholders gain visibility into decision logic and can independently perform policy simulations and what-if analysis.
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Workflow execution becomes standardized, auditable, and measurable through BPMN-based orchestration.
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Rule governance, compliance, and operational transparency are significantly improved across the Credit Loss Mitigation ecosystem.
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A scalable foundation is established for future decision automation and process optimization initiatives.
Photon Chicago, Illinois, USA Office
11 East Adams Street Suite 1100, Chicago, IL, United States, 60603
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