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Who We Are: (www.credera.com)
Credera, trading as Areteans Technology is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experience and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organization that can scale due to our extensive footprint. As a values-led organization, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organizations in the world, from strategy through to execution.
We are part of the OPMG Group of Companies, a division of Omnicom Group Inc.
Job Title: Consultant - Decisioning (DA) Job Role: Pega Decisioning - CDH
Job Type: Full Time
Work Mode: Hybrid (3 Days per week Work From Office)
Location: Hyderabad, Bangalore, Chennai and Bhubaneswar
Job Description:
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.
SKILLS & EXPERIENCE Essential Technical Qualification:
• Certified Pega Decisioning Consultant (mandatory) with 1-3 years of relevant decisioning experience and at least 1 Pega project implementation.
• Strong Experience in Pega CDH Projects & Operations Management: The ideal candidate should have hands-on experience in delivering and managing Pega Customer Decision Hub (CDH) implementations, 1:1 Ops Manager including real-time decisioning, strategy design, and next best-action frameworks.
• 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.
Key Responsibilities:
• 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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