Overview
Skills
Job Details
Pega Architect - LDA(Lead Decision Architect) & CDH (Customer Decision Hub)
Discovery and Requirement Gathering
Lead comprehensive discovery sessions with key stakeholders to identify business goals, functional requirements, and the overarching problem domain.
Translate business objectives into actionable solution designs leveraging the Pega CDH platform.
Solution Design and Best Practices
Develop high-quality solutions in alignment with Pega best practices, promoting an "out-of-the-box first" approach.
Stay current with new Pega CDH features and advise on how to leverage them for client impact.
Decisioning & Modelling
Drive the design and implementation of predictive models, adaptive models, and decision strategies in Pega.
Manage the full lifecycle of actions and offers aligned with business and customer needs.
Customer Insights Cache (CIC)
Design and build the CIC for optimized performance, scalability, and data integrity.
Project Management & Delivery Support
Support PMs with project timelines and collaborate with BAs, developers, and testers.
Identify risks and bottlenecks, and implement corrective actions.
CDH Tools & Decisioning Components
Guide clients on Pega s CDH Discovery tools (e.g., Value Finder, Simulation Planner).
Build and update components like decision tables, scorecards, filters, property sets, and rankings.
Integrate and optimize Pega Operations Manager in development workflows.
Change Management & Documentation
Assess and document change requests, maintaining version control and governance.
Quality Assurance & Performance
Perform code reviews, unit tests, E2E tests, and performance tests.
Collaborate with the LSA on deployment, code merging, and environment configuration.
Value Realization & KPIs
Develop solutions targeting KPIs and business value.
Monitor and enhance solution performance.
Team Leadership & Mentorship
Mentor junior developers and promote a learning culture.
Enforce best practices and governance.
Cross-Functional Collaboration
Partner with product owners, architects, data teams, and sponsors.
Communicate technical topics to non-technical stakeholders.
Ensure seamless integration between Pega CDH and external systems.
Define and enforce architectural standards.
Bachelor s or Master s in Information/Computer Science or related field.
8+ years total experience, including 4+ years in Pega CDH.
Certified Pega Decisioning Consultant & Certified Pega Data Scientist required.
Pega Certified Lead Decisioning Architect preferred.
Excellent communication and organizational skills.
Seeking a Pega CDH Enterprise Architect / Engineer to lead the strategic design, integration, and implementation of Pega's Customer Decision Hub across enterprise systems. This role involves collaboration with stakeholders to deliver AI-driven, real-time personalized experiences.
<>Key Responsibilities</>Architecture & Design
Define end-to-end CDH architecture aligned with enterprise systems.
Lead design of NBA strategies, channel integration, and real-time decisioning.
Architect scalable CDH components: Decision Strategies, Data Flows, Models, and Profiles.
Stakeholder Engagement
Translate business goals into CDH solutions.
Lead ideation and discovery workshops, especially for new CDH clients.
Governance & Best Practices
Establish CDH design frameworks and reusable components.
Ensure data governance, security, and regulatory compliance.
Enforce Pega Guardrails and enterprise architecture standards.
Enablement & Mentorship
Guide CDH developers and consultants.
Conduct code reviews, architecture assessments, and mentor teams.
Collaborate with CoE to develop accelerators and assets.
10+ years in enterprise or solution architecture (preferably in digital/personalization).
3 5+ years hands-on Pega CDH experience.
Expertise in:
NBA Designer / Strategy Framework
Adaptive & Predictive Models
Omnichannel integration (Web, Mobile, Contact Center, Marketing)
Customer Profile Designer, Data Flows, Data Sets
Experience integrating CDH with CRM, data lakes, marketing, and analytics platforms.
Familiarity with real-time decisioning, event stream processing, AI/ML integration.
Financial experience is a plus, but not required.