Lead Pega CDH Architect

Posted 3 Days Ago
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Hyderabad, Telangana, IND
Hybrid
Expert/Leader
Database • Analytics
The Role
Lead Pega CDH architect responsible for designing and implementing Pega Decisioning/CDH solutions, building decisioning components and data models, overseeing deployment and code-merge, collaborating with business and tech teams, and ensuring timely delivery of adaptive and predictive analytical models and outbound strategies.
Summary Generated by Built In
Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

  • Certified Pega Decisioning Consultant (CPDC) with strong Decisioning expertise and ownership of technical solutions.
  • Well versed with CDH and NBAD framework.
  • Well versed with outbound schedules, volume constraints.Design, elaboration and implementation of business processes, strategies, rules, Analytical models (Adaptive, Predictive)
  • Good understanding of CIC using CPD.
  • Operations manager, Deployment manager, Action & Offer Management life cycle.
  • Understanding of Customer interaction history, Journeys and channels.
  • Lead class structure/hierarchy/use case design and data model to extend Pega framework(s).
  • Ensure delivery of solutions within the structured time frame.
  • Creating new treatment groups, classes, properties, data elements within Pega.
  • Collaborating with business and technology teams.
  • Evaluating impact of change requests to existing logic and display and updates the design document as necessary.
  • Building/updating Decisioning components (decision table, scorecard, filter, strategy set, switch, and ranking).
  • Working with the LSA to perform deployment and code-merge activities.
  • Updating Decisioning strategies and design.

Qualifications

  • BE (or) M Tech in Information Science/Computer Science
  • Minimum 10 years of experience which includes 4 years in Pega CDH.

Skills Required

  • Certified Pega Decisioning Consultant (CPDC)
  • Strong expertise with Pega CDH
  • Experience with NBAD framework
  • Experience with outbound schedules and volume constraints
  • Design and implement business processes, strategies, rules, analytical models (adaptive, predictive)
  • Good understanding of CIC using CPD
  • Familiarity with Operations Manager, Deployment Manager, Action & Offer Management lifecycle
  • Understanding of customer interaction history, journeys, and channels
  • Lead class structure/hierarchy/use case design and data model extensions for Pega frameworks
  • Create treatment groups, classes, properties, and data elements in Pega
  • Collaborate with business and technology teams
  • Evaluate impact of change requests and update design documentation
  • Build/update decisioning components (decision table, scorecard, filter, strategy set, switch, ranking)
  • Work with LSA for deployment and code-merge activities
  • Update decisioning strategies and design
  • BE or MTech in Information Science/Computer Science
  • Minimum 10 years of experience, including 4 years in Pega CDH

Blend360 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.

  • Fair & Transparent Compensation Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
  • Flexible Benefits Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
  • Retirement Support A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.

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The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

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