Urgent Contract Pega CDH Senior Decisioning Architect
Must have Banking domain experienjce
Location: Sheffield - Hybrid
6 months contract
Role Summary:
The Senior Pega Decisioning Architect is a hands-on, strategic role responsible for designing, building, and optimizing the decisioning framework within the Pega platform, with a strong focus on the Pega Customer Decision Hub (CDH). This individual will be a subject matter expert who can translate business goals into scalable and efficient decisioning strategies, while also performing the practical configuration and implementation of those solutions.
Key Responsibilities:
1. Strategic Design & Architecture (Decisioning Vision):
* Architecting Decision Strategies: Design and establish the architecture for complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, real-time containers, and adaptive models.
* Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks.
* Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels.
* Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine.
2. Hands-on Configuration & Implementation (Technical Execution):
* Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as strategies, propositions, treatments, actions, and contact policies.
* Next-Best-Action Designer: Implement and configure rules within the Next-Best-Action Designer, including configuring arbitration, taxonomy, and strategies.
* Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models.
* Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements.
* Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components.
3. Leadership & Collaboration:
* Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best practices and architecture standards.
* Cross-Functional Collaboration: Serve as a key liaison between business stakeholders, technical leads, and QA teams to ensure alignment and clear communication throughout the project lifecycle.
* Code Review & Governance: Perform code and design reviews to ensure the quality and maintainability of the Pega solution. Ensure compliance with enterprise architecture standards and governance.
* Documentation: Maintain comprehensive documentation of requirements, design decisions, and business processes related to the decisioning framework.
Required Qualifications & Skills:
* Pega Experience: 5+ years of hands-on experience in Pega, with a strong specialization in Pega Decisioning.
* Core Decisioning Expertise: Deep, hands-on experience with Pega CDH, Next-Best-Action Designer, Pega AI, and related concepts.
Technical Proficiency:
* Experience with Pega Platform versions 8.x and above.
* Proficiency in configuring strategies, propositions, treatments, and channels.
* Strong knowledge of Pega's data model, data flows, and integration capabilities (e.g., REST, SOAP).
Certifications (Highly Preferred):
* Pega Certified Decisioning Consultant (PCDC) is essential.
* Pega Certified Lead Decisioning Architect certification would be a significant advantage.
Soft Skills:
* Exceptional communication and stakeholder management skills.
* Strong analytical and problem-solving abilities.
* Ability to work both independently and lead a team in an Agile environment.
Domain Knowledge: Experience in industries that heavily use real-time personalization, such as financial services, telecommunications, or marketing, is highly desirable