On-site
Full Time
We are seeking a motivated and detail-oriented Certified Pega Decisioning Architect who will work closely with senior architects and business teams to design and implement decisioning components using Pega Customer Decision Hub (CDH). This is a great opportunity to deepen your expertise in real-time decisioning, AI-driven personalization, and next-best-action strategy development while contributing to impactful digital transformation projects.
• Minimum 1+ years of developing applications using Pega and having experience into Customer Decisioning Hub (CDH).
• Banking Domain Expertise Preferred: Candidates with prior experience in the banking or financial services domain will be given preference
• Designing the decisioning logic. Build and test decision logic rules.
• Maintain advanced knowledge of the CDH Architecture and all CDH design and implementation features
• Solid understanding of reuse in terms of enterprise solutions seeking to determine and develop repeatable, efficient and optimal ways of implementing CDH.
• Knowledge on various PRPC concepts, PRPC flows, Ruleset, Assignments, Utilities, Decision, Class Structures, Activities, User Interface, Flow Actions, Agents, SLA, Correspondence, Security, Reports, Listeners (File, MQ), Connectors
• Agile/Scrum or waterfall methodologies.
• Assist in the design and development of decisioning solutions using Pega Customer Decision Hub (CDH).
• Contribute to the implementation of next-best-action (NBA) strategies, engagement policies, and adaptive models.
• Support the setup of decisioning logic, predictive models, and arbitration rules based on business requirements.
• Collaborate with business analysts, developers, and stakeholders to understand and translate functional requirements into technical solutions.
• Perform testing, debugging, and performance tuning of decisioning strategies.
• Experience with CDH components such as Adaptive model, Predictive Model, A/B testing, Simulation testing, performance reports and monitoring.
• Creating the technical design, developing the enterprise class structure and reviews infrastructure requirements such as data architecture definitions and data management plans.
• Ensures that the application meets current business needs but also supports future expansion for new features down the road.
• Support in resolving complex design and configuration problems to meet specified objectives.
• Prepares High Level Designs, low-code platform solutions and collate non-functional requirements.
• Articulate what customer decision hub, always on marketing and AI mean in a particular sense, how does it deliver the business vision and objectives.
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