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Job Description

Role : Lead Decisioning Architect

Location : Gurugram, India

Type : Permanent

Shift Timings : 2 PM to 11 PM IST

Required Certification : CPDC

Mandate Skill : CDH experience should be more than 5 years.

Job Description :

Responsibilities :

- Take a leadership role in Designing and architecting the Pega Decisioning solutions that align with business objectives, ensuring scalability, performance, and maintainability.

- Leads the development and implementation of decisioning strategies that leverage machine learning, predictive analytics, and complex business rules to optimize customer interactions and business outcomes.

- Leads the effort in defining, configuring, and optimizing complex business rules, decision logic, and decision tables within Pega Decisioning to align with business requirements and compliance standards.

- Leads the development and management of adaptive and predictive models within the Pega Decisioning platform, continually improving accuracy and effectiveness.

- Oversees the integration of data from various sources, including customer data, transactional data, and external data providers, to enable data-driven decision-making

- Collaborates with business stakeholders, data scientists, developers, and other teams to ensure successful implementation and continuous optimization of decisioning solutions

- Oversees the monitoring, analysis and fine-tuning of decisioning strategies to improve efficiency, responsiveness, and overall performance and ensures adherence to regulatory and compliance standards.

- Creates and maintains comprehensive documentation related to advanced decisioning strategies, models, and configurations.

Required Skills & Other Attributes :

- Excellent interpersonal skills and the ability to communicate, partner, and collaborate.

- Dedication to achieving outstanding results. Driven and team-oriented with a demonstrated ability to lead by example.

- Able to pick up new concepts and technology rapidly; able to explain it to both business & IT stakeholders.

- Strong expertise in data analysis, machine learning, predictive modeling, and complex business rule development.

- Exceptional problem-solving and analytical skills.

- Able to work in teams as well as independently.

- Advanced understanding and knowledge of SQL.


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