5 Decisioning Jobs

Minimum 4 Years of exp in IT industry Must have 3 years of experience in Pega Decisioning Experience in minimum 3 implementation projects Must have worked on latest versions Strong Communication Skills Required Skills: Pega CDH, Decisioning Required Experience: 3+ Years

Minimum 4 Years of exp in IT industry Must have 3 years of experience in Pega Decisioning Experience in minimum 3 implementation projects Must have worked on latest versions Strong Communication Skills Required Skills: Pega CDH, Decisioning Required Experience: 3+ Years

Minimum 4 Years of exp in IT industry Must have 3 years of experience in Pega Decisioning Experience in minimum 3 implementation projects Must have worked on latest versions Strong Communication Skills Required Skills: Pega CDH, Decisioning Required Experience: 3+ Years

Job Title: Pega CDH Architect / Lead Experience Level 10-14 years of experience in Pega; 8-10 years of experience in Pega CDH Key Responsibilities As a Pega CDH Architect / Lead, you will: CDH Subject Matter Expertise: Act as a CDH Subject Matter Expert (SME) from a Pega Platform perspective, particularly within the banking and financial services domains. Hyper-Personalization Delivery: Lead the delivery of hyper-personalized solutions using Next-Best-Action (NBA) strategies across inbound and outbound channels in both batch and real-time modes. Decisioning Logic Design: Translate complex business requirements into robust decisioning logic, including NBA strategies, engagement policies, and offer flows. Design and configure core decisioning logic using Pega CDH, including rules, propositions, treatments, and decision data flows. Pega CDH Component Leadership: Lead the development and configuration of Adaptive Decision Manager (ADM), Interaction History, Decision Strategy Management, and other Pega CDH components. Integration & Architecture: Ensure seamless integration of decisioning frameworks with enterprise systems like CRM and data lakes. Design and implement REST API, Kafka, and FTP-based integrations. Quality Assurance & Optimization: Conduct peer reviews and manage quality assurance processes for decisioning logic. Collaborate with data scientists to analyze customer interactions and optimize adaptive models. Agile Delivery & Support: Manage the end-to-end delivery of Pega CDH solutions in Agile environments. Create post-implementation support documentation and resolve production defects. Governance & Mentorship: Implement governance standards for architecture, data privacy, and security compliance. Mentor and lead a team of Pega NBA Designers or developers. Task Coordination: Coordinate tasks such as proposition builds, customer data flow updates, and interaction updates. Performance Monitoring: Monitor application performance to ensure scalability and efficiency. Business Alignment: Design solutions in alignment with clients business objectives. Mandatory Skills & Experience Technical Proficiency: Pega CDH Expertise: 8-10 years of hands-on experience in Pega CDH , specifically Pega CDH 8.X or higher versions , and the NBAD framework . Pega Components: Hands-on experience with Pega CDH components like ADM, DSM, Value Finder, Customer Profiler , etc. Decisioning Logic: Proven track record of delivering hyper-personalized solutions using NBA strategies across inbound and outbound channels (batch and real-time). Programming & Databases: Proficiency in SQL, JSON , real-time decisioning, and object-oriented programming principles. Integration Technologies: Experience designing and implementing REST API, Kafka, and FTP-based integrations . Application Understanding: Good understanding and experience in Client Server applications, Digital applications, and Business Functions. Certifications: Pega CSSA Certification Pega Decisioning Consultant Certification Experience & Qualifications: 10-14 years of overall experience in Pega . Demonstrated ability to translate business requirements into decisioning logic. Experience managing end-to-end delivery of Pega CDH solutions in Agile environments. Experience in a CDH SME role, preferably in banking and financial services. Essential Professional Skills Leadership & Mentorship: Ability to provide thought leadership and technical guidance to teams, and mentor Pega NBA Designers/developers. Analytical Skills: Strong analytical skills with the ability to summarize data into actionable insights. Communication Skills: Excellent communication skills to interact with both technical and non-technical stakeholders. Problem-Solving: Ability to resolve production defects and optimize adaptive models.

Job Title: Pega CDH Architect / Lead Experience Level 10-14 years of experience in Pega; 8-10 years of experience in Pega CDH Key Responsibilities As a Pega CDH Architect / Lead, you will: CDH Subject Matter Expertise: Act as a CDH Subject Matter Expert (SME) from a Pega Platform perspective, particularly within the banking and financial services domains. Hyper-Personalization Delivery: Lead the delivery of hyper-personalized solutions using Next-Best-Action (NBA) strategies across inbound and outbound channels in both batch and real-time modes. Decisioning Logic Design: Translate complex business requirements into robust decisioning logic, including NBA strategies, engagement policies, and offer flows. Design and configure core decisioning logic using Pega CDH, including rules, propositions, treatments, and decision data flows. Pega CDH Component Leadership: Lead the development and configuration of Adaptive Decision Manager (ADM), Interaction History, Decision Strategy Management, and other Pega CDH components. Integration & Architecture: Ensure seamless integration of decisioning frameworks with enterprise systems like CRM and data lakes. Design and implement REST API, Kafka, and FTP-based integrations. Quality Assurance & Optimization: Conduct peer reviews and manage quality assurance processes for decisioning logic. Collaborate with data scientists to analyze customer interactions and optimize adaptive models. Agile Delivery & Support: Manage the end-to-end delivery of Pega CDH solutions in Agile environments. Create post-implementation support documentation and resolve production defects. Governance & Mentorship: Implement governance standards for architecture, data privacy, and security compliance. Mentor and lead a team of Pega NBA Designers or developers. Task Coordination: Coordinate tasks such as proposition builds, customer data flow updates, and interaction updates. Performance Monitoring: Monitor application performance to ensure scalability and efficiency. Business Alignment: Design solutions in alignment with clients business objectives. Mandatory Skills & Experience Technical Proficiency: Pega CDH Expertise: 8-10 years of hands-on experience in Pega CDH , specifically Pega CDH 8.X or higher versions , and the NBAD framework . Pega Components: Hands-on experience with Pega CDH components like ADM, DSM, Value Finder, Customer Profiler , etc. Decisioning Logic: Proven track record of delivering hyper-personalized solutions using NBA strategies across inbound and outbound channels (batch and real-time). Programming & Databases: Proficiency in SQL, JSON , real-time decisioning, and object-oriented programming principles. Integration Technologies: Experience designing and implementing REST API, Kafka, and FTP-based integrations . Application Understanding: Good understanding and experience in Client Server applications, Digital applications, and Business Functions. Certifications: Pega CSSA Certification Pega Decisioning Consultant Certification Experience & Qualifications: 10-14 years of overall experience in Pega . Demonstrated ability to translate business requirements into decisioning logic. Experience managing end-to-end delivery of Pega CDH solutions in Agile environments. Experience in a CDH SME role, preferably in banking and financial services. Essential Professional Skills Leadership & Mentorship: Ability to provide thought leadership and technical guidance to teams, and mentor Pega NBA Designers/developers. Analytical Skills: Strong analytical skills with the ability to summarize data into actionable insights. Communication Skills: Excellent communication skills to interact with both technical and non-technical stakeholders. Problem-Solving: Ability to resolve production defects and optimize adaptive models.