Pega Lead Decisioning Architect (LDA)

The Role

We are seeking an experienced Pega Lead Decisioning Architect (LDA) to lead the architecture and design of the Customer Decision Hub (CDH) workstream within a strategic collections transformation programme.

You will translate business requirements into scalable decisioning solutions, guide hands-on implementation and establish architecture and design standards.

Working closely with customer stakeholders, business analysts and delivery teams, you will shape customer-level prioritisation, treatment strategies and Next-Best-Action capabilities.

Collections domain experience is preferred.

Key Responsibilities

• Lead end-to-end Pega Customer Decision Hub (CDH) architecture, solution design and implementation.
• Define and enforce Pega decisioning architecture, design and coding standards.
• Translate business and collections requirements into decisioning designs and technical user stories.
• Design Next-Best-Action strategies, customer segmentation, contact policies, arbitration and prioritisation.
• Lead adaptive and predictive model integration for customer-level prioritisation and treatment strategies.
• Coordinate customer data models, data flows and integration designs.
• Provide hands-on technical leadership, architecture reviews, code reviews and mentoring.
• Guide decision strategy testing, simulation, performance validation and production readiness.
• Support Agile delivery through effort estimation, prioritisation and dependency assessments.
• Communicate architecture decisions and solution benefits to business and technical stakeholders.

Essential Skills and Experience

• 8+ years of overall experience, including at least 6 years in Pega Decisioning and Marketing / Customer Decision Hub.
• Proven experience leading end-to-end Pega CDH architecture, solution design and hands-on implementation.
• Strong knowledge of Pega Customer Decision Hub and Next-Best-Action strategy design.
• Expertise in customer segmentation, contact strategy, engagement policies, actions, treatments, arbitration and prioritisation.
• Experience designing inbound, outbound and real-time decisioning across multiple channels.
• Hands-on experience with adaptive modelling, predictive models, decision strategy simulation, testing and performance monitoring.
• Strong understanding of customer data modelling, data flows, integrations and database performance.
• Ability to apply Pega architecture and coding best practices and troubleshoot complex decisioning issues.
• Excellent customer-facing communication and stakeholder management skills.
• Experience in technical leadership, mentoring and Agile/Scrum delivery.

Desirable Skills

• Collections domain experience, preferably with hands-on Pega Collections and customer-centric treatment strategies.
• Pega Decisioning / CDH certification.
• Experience with Pega Cloud and large-scale CRM solutions.
• Strong Java/J2EE background.

Join us and help transform customer collections through intelligent, customer-centric decisioning.