Pega Lead Decisioning Architect (LDA) - #2189532

Are you a Pega Lead Decisioning Architect (LDA) with 8+ years of overall experience, including at least 6 years in Pega Decisioning and Marketing/CDH ?

If so, our client, a non-profit making government-owned organisation is looking for an experienced Pega Lead Decisioning Architect (LDA) to lead the design and architecture of the Customer Decision Hub (CDH) workstream within a collections transformation programme. You will translate business requirements into decisioning solutions, guide hands-on implementation and establish architecture and design standards. Working closely with customer stakeholders, Pega specialists, business analysts and delivery teams, you will shape customer-level prioritisation, treatment strategies and Next-Best-Action capabilities. Collections experience is preferred.

Must Have skills/knowledge/experience:

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

Desirable skills/knowledge/experience:

• Collections domain experience, preferably with hands-on Pega Collections and customer-centric treatment strategy implementation.
• Pega decisioning/CDH certification, experience with Pega Cloud and large-scale CRM solutions, and a strong Java/J2EE background.

Your responsibilities:

• Lead end-to-end Pega CDH decisioning architecture, solution design and implementation for the collections workstream.
• Define and enforce Pega decisioning architecture, design and coding standards, applying platform best practices.
• Collaborate with business analysts and customer stakeholders to translate collections requirements into decisioning designs and technical user stories.
• Design Next-Best-Action strategies, customer segmentation, contact policies, arbitration and prioritisation across inbound, outbound and real-time interactions.
• Guide adaptive and predictive model integration to support customer-level prioritisation and collections treatment strategies.
• Coordinate customer data models, data flows and integration designs with workflow, data migration and integration teams.
• Provide hands-on technical leadership, design and code reviews, mentoring and knowledge transfer to decisioning developers.
• Guide decision strategy testing, simulation and performance validation, and support defect resolution and production readiness.
• Contribute decisioning effort estimates, prioritisation and dependency assessments to Agile story refinement and sprint planning.
• Explain decisioning design choices and benefits to customer, operational and Pega stakeholders, maintaining clear solution documentation.

Why Apply?

This is an opportunity to play a key architectural role on a high-profile transformation programme, influencing enterprise decisioning capabilities and helping shape customer engagement strategies at scale.

Interested? Apply now to discuss the role in more detail.